Dauer: 4 y       
Pensum: 100%
Aufgaben: Betreuung und Abhaltung von Übungen im Bereich der angewandten und numerischen Mathematik (Bakkalaureat und Master Mathematik, Service); Analysis und Numerik partieller Differentialgleichungen, Mitarbeit in Drittmittelprojekten; Mitarbeit in der Administration des Instituts (selbständige Reiseadministration, Organisation von Workshops....etc.); Fertigstellung der Dissertation
Anforderungen: Abgeschlossenes Universitätsstudium in Mathematik Kenntnisse in der Analysis und Numerik partieller Differentialgleichungen, Programmierkenntnisse

Aufgaben: We welcome applications from experienced teachers with specialisms in Data Science, Data visualizations, Natural Language Processing, Big Data, Quantitative analysis and any relevant industry experience is also welcomed
Anforderungen: PhD or Doctoral qualifications and Masters degree in a relevant discipline area from an internationally recognized institution; University or postgraduate teaching experience in related fields having taught programmes where instruction is 100% English; Advanced knowledge of Data Science and AI; Proficiency in Programming Languages; Knowledge of Data Management Tools

Aufgaben: Develops and implements tools and reference databases for genomic analysis of eukaryotic pathogens; Analyzenext-generationsequencing (NGS)datasuch asWGS and targeted sequencingand othermicrobiome data; Construct NGS libraries for the assigned pipeline, which may be whole genomeor amplicon andoperation of related sequencing platform; Generate high-quality reports forsequencing requestsdocumentation, communicate with team members effectively, and good time management; Interface with data scientists from across the company to leverage and develop new state of the art machine learning tools, data analysis capabilities, and informatic systems
Anforderungen: Masters Degree in Bioinformatics, Computer Science, Statistics, orarelated field with at least 2 yearsofwork experience in sequencing data analysis; Knowledge of prokaryotic and eukaryotic molecular biology and microbiology

Aufgaben: Supports and provides robust interactive data analysis tools (such as ParaView, VisIt and EnSight) which are configured by to run in a client-server mode from HPC systems to local user workstations, and a special home-grown VNC solution called the Secure Remote Desktop; Participates in cross-HPCMP collaborations with customers, contractors and technology partners, and maintains a working relationship with other government entities such as the Department of Energy to promote and advance data analysis and visualization applications
Anforderungen: Bachelors and ten (10) years or more experience. The candidate should have a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree that included a major field of study in professional engineering, computer engineering, software design, or computer science; Additional years of experience may be substituted to satisfy educational requirements; Familiarity with one or more of the following data analysis packages: ParaView, VisIt, and/or EnSight; Experience in the areas of scientific visualization, data analysis and high performance computing; Working knowledge of Linux/Unix OS, shell scripting

Aufgaben: Pursue independent scientific work in image segmentation, pipeline development or growth chart models; Develop scripts and procedures to curate and process large brain MRI datasets; Collaborate on pipeline development with other labs at Penn and CHOP, nationally, and internationally; Work directly with other researchers to provide support in neuroimaging informatics and ensure the lab's neuroimaging informatics needs are met; Work with PI and postdoctoral fellows to identify short-term and long-term needs in neuroimaging informatics; Develop scripts for neuroimaging analysis (FreeSurfer, AFNI, ANTS, FSL, etc) in the HPC environment at CHOP/Penn; Build computational workflows that scale and work across a broad range of file system storage; Desiminate results in scientific papers
Anforderungen: Doctorate Neuroimaging, Computer Science, Engineering, or similar field of study. Required; At least one (1) year of experience in scientific image processing, analysis, or multidimensional signal processing Required; At least two (2) years of experience with MR neuroimaging image analysis (fMRI, DWI, structural) or medical image analysis Preferred

Aufgaben: Collaborate with Data Scientists and product experts to evaluate opportunities for applying ML and NLP technologies to improve the quality and efficiency of health care; to scale and optimize efficiency of internal processes; and to find insights latent in the data that may not be discoverable otherwise; For compelling opportunities, collaborate with product designers, content experts, data science colleagues, and DevOps specialists to design, develop, train, evaluate, deploy, monitor, and to maintain robust ML and NLP applications; Help optimize existing ML models and NLP solutions for better accuracy and performance, particularly in processing healthcare-related data; Work with content experts and data architects to build and improve data pipelines to ensure seamless data flow and integration for ML and NLP applications
Anforderungen: Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree strongly preferred; Minimum of 2 years of experience working with ML and NLP technologies with a focus on applications using regulated data, healthcare preferred. Experience with NLG technologies and/or generative AI preferred; Experience creating and managing large and complex data sets for use in AI or other advanced analytic models with corresponding languages like SQL, R, SAS and Python

Aufgaben: Envision, plan, and execute research strategies in collaboration with other cross-functional stakeholders; Drive the development of innovative algorithms on ultra-deep sequencing data; Lead a team of Bioinformatics Scientists and support their professional growth; Foster a culture of innovation, collaboration, and scientific excellence; Work closely with interdisciplinary teams including engineering, biostats, and molecular biology teams to support the development of new products; Contribute to experimental design and ensure data integrity and quality control
Anforderungen: PhD in Bioinformatics, Computer Science, Mathematics, Engineering, Biostatistics, or related field; Minimum of 6-8 years of working in the bioinformatics field and extensive managerial and cross-functional experience; Track-record of leading and developing state-of-the-art and highly impactful computational methods; Highly experienced in algorithm development, data analysis, and machine learning; Experience with multiplex PCR and hybrid capture data

Aufgaben: Evaluates, analyzes, and customizes next generation sequence analysis protocols, e.g. HiSeq Analysis Software, Genome Analysis Toolkit (GATK), open source software, for a variety of sequencing applications; Develops new WGS, RNA-seq, Exome seq, genome analysis pipelines and procedures; Performs genome wide trait association analyses using tools such as Plink/seq, generalized linear model (glm); Conducts data‐driven and hypothesis-directed genomics research; Assists with the report of experimental results for publication in technical and peer-reviewed journals. Contributes and edits data, text and figures in program publications; May supervise junior informatics staff; May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role
Anforderungen: Master's Degree required, Doctoral degree preferred within Computational Biology, Bioinformatics, Biostatistics, Computer Science or related discipline; Minimum of 0-2 years experience required; Research training and proficiency in statistical analysis biomedical research, and quantitative analysis. Programming ability in (R or other statistical language); Scripting language (Perl, Python, or comparable), and (C/C++, Java or comparable language)

Aufgaben: Populate and maintain existing plant genome data warehouses and reference databases; Develop, run, and maintain plant genome data analysis pipelines to provide proteome classification, gene expression, and gene family analysis of newly annotated JGI genomes and newly integrated externally sourced genomes; Refine and optimize data access application programming interfaces (APIs) to support the Phytozome website and internal analysis pipelines; Ensure data is submitted to GenBank and shared with collaborators in a timely manner; Explore new database technologies in order to accommodate a potential 10x increase in plant genomics data footprint; Communicate effectively with Generic Model Organism Database (GMOD) and other open-source bioinformatics communities (e.g., InterMine, Chado) to influence development priorities in line with Plant Program needs
Anforderungen: A Bachelor’s Degree (or equivalent knowledge/training) in Bioinformatics, Computer Science, Data Science, or related field and a minimum of 8 years of demonstrated success implementing and maintaining large scale genome sequence data analysis systems with large complex technological programs or an equivalent combination of education and experience; Demonstrated experience with standard genome analysis workflows, integrating third party and internal software, and supporting genomic analysis across multiple projects; Experience with Python including good software development practices and database design and optimization; Experience with database schema design, administration, and SQL optimization

Aufgaben: The Senior Algorithm, AI/ML, Integration Engineer; (Remote Position) at Beckman Coulter Diagnostics is responsible for designing, developing, troubleshooting, and debugging algorithms and software programs for software enhancements and new products. Develops software tools including operating systems, compilers, routers, networks, utilities, databases, and Internet-related tools. Determines hardware compatibility and/or influences hardware design. Develops software applications, user interfaces, databases, and embedded software. Considers software architecture to include networked applications and interactions within a system. Furthermore, this associate is responsible for developing imaging engineering algorithms towards the design and implementation of medical diagnostic and clinical instrumentation, equipment, and procedures, using the principles of computer, electrical and digital signal processing engineering for the deployment of our Next Generation Diagnostics Platforms
Anforderungen: 5+ Years of experience in developing in C/C#/C++ for Windows and Linux; 5+ Years of experience in developing in Python for Machine Learning and Computer Vision applications; 3+ Years of experience in building and troubleshooting Linux-based ML/AI deployment pipelines for edge-devices; 3+ Years of experience in writing operating-system level scripts for software controls

Aufgaben: Leads and influences teams whose members are seldom direct-reports; Leads, and as needed, directly develops business cases and requirements for advanced analytics supporting new and enhanced products; Leads discovery process with stakeholders to identify analytic needs, important variables that might affect the desired outcomes; Leads or determines the methods needed to meet the business requirements, along with their execution, including (as appropriate given business requirements); Research or evaluative design; Sampling design and data management including imputation and use of indirect or proxy measures; Analysis design including model contrasting, diagnostics, validation/robustness, goodness of fit, train v test, so on
Anforderungen: Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or in a related field; 10+ years of relevant Data Scientist experience; 5 + years demonstrated achievement with and mastery of quantitative and qualitative research and analytics experience; Solid experience supporting the development of scalable analytic and reportings

Aufgaben: Develop theory and optimization techniques for tackling noise and missing data for improved subtomogram resolution; Develop algorithms for automated marker-less alignment of X-ray and electron tomography data; Develop new data-driven methods that leverage physics-informed machine learning for reconstructing non-rigid deformations and generative modeling of conformational heterogeneity in electron tomography; Apply these new algorithms to enable high-resolution 3D reconstructions of biomolecules from cellular tomographic data; Publish scientific papers in high-impact journals and present findings at seminars and conferences; Maintain documentation of theory, derivations, and results
Anforderungen: A recent Ph.D. (within the last 1-2 years) in Applied Mathematics, Computational Biophysics/Physics, Computer Science, Data Science or a related discipline; Experience developing numerical methods for solving inverse problems in imaging including but not limited to phase retrieval, iterative reconstruction for tomography, and regularization techniques; Experience with generative models, variational inference, and physics informed machine learning; Strong background in scientific computing including coding experience in C++, Fortran, and Python; Knowledge of physics and mathematics of X-ray and electron microscopy

Aufgaben: The Senior Data Scientist is responsible for end-to-end data science solutions for our data products; Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning; Works closely with data engineers, analysts, ML Engineers and application developers to help build ML and statistics driven models; Have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people; Good at analyzing existing code, finding bugs in the existing solutions and recommending how to improve or enhance the baseline
Anforderungen: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in analytics related field; You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes; You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop; Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU; Have applied industry experiece in NLP/NLU, Forcasting and Anomaly detection solution development

Aufgaben: Collaborate with Data Scientists and product experts to evaluate opportunities for applying ML and NLP technologies to improve the quality and efficiency of health care; to scale and optimize efficiency of internal processes; and to find insights latent in the data that may not be discoverable otherwise; For compelling opportunities, collaborate with product designers, content experts, data science colleagues, and DevOps specialists to design, develop, train, evaluate, deploy, monitor, and to maintain robust ML and NLP applications; Help optimize existing ML models and NLP solutions for better accuracy and performance, particularly in processing healthcare-related data; Work with content experts and data architects to build and improve data pipelines to ensure seamless data flow and integration for ML and NLP applications
Anforderungen: Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree strongly preferred; Minimum of 2 years of experience working with ML and NLP technologies with a focus on applications using regulated data, healthcare preferred. Experience with NLG technologies and/or generative AI preferred; Experience creating and managing large and complex data sets for use in AI or other advanced analytic models with corresponding languages like SQL, R, SAS and Python

Aufgaben: Exagen Inc. is seeking a dynamic leader in computational biology and data analytics to helm our endeavors in diagnostic testing within the realm of autoimmune diseases. As a trailblazer in the biotech sector and bolstered by our status as a publicly traded entity, our ambition is to craft a comprehensive bio-computing infrastructure. This endeavor aims to harness the vast potential of extensive clinical datasets alongside AI, paving the way from diagnostic breakthroughs to therapeutic innovations. The role of the Associate Vice President of Bioinformatics & Data Analytics is pivotal, tasked with sculpting the bioinformatics blueprint essential for groundbreaking target discovery and translational science endeavors. In this capacity, you will orchestrate a team of exceptional bioinformaticians and biostatisticians, steering efforts in target identification, biomarker unveiling, and patient stratification
Anforderungen: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field; At least 8 years of post-graduate experience in bioinformatics or computational biology, with a proven track record in the biotechnology or pharmaceutical industry; Proficiency in the analysis of large-scale biological data sets, including but not limited to genomic, transcriptomic, proteomic, and metabolomic data

Aufgaben: Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, and performance optimization; Build, deploy and monitor machine learning and statistical models to predict or estimate key signals that are used to optimize advertising product performance; Work on ML Automation platforms to support end to end machine learning life cycle using (Mlflow/KubeFlow/MetaFlow); Build, maintain and monitor scalable data pipelines working with distributed computing frameworks (e.g., Hadoop/Spark) and job schedulers (Airflow/Azkaban) to support modeling and optimization products
Anforderungen: Experience with backend software development, system architecture, and object-oriented design; Experience with one of the following high-level programming languages in production code quality: Python or Java; Experience with big data distributed computing frameworks including Hadoop, MapReduce, and PySpark; Experience with machine learning modeling and data analysis tools including Pandas, SQL, Numpy, Scikitlearn, TensorFlow, PyTorch; Experience developing and implementing machine learning models to solve real-world problems and fit algorithms to specific use cases

Aufgaben: Understand company and stakeholder challenges and how integrating AI capabilities can help lead to solutions; Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards; Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, in collaboration with your peers in an advanced engineering team and executive leadership; Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation; Serve as liaison between stakeholders and development team, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Anforderungen: Bachelor’s degree or several years of experience in computer science, data science, software development, or another related field; a master’s degree is recommended; Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R; Experience working with large data sets and writing efficient code capable of processing large data streams at speed; Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks

Aufgaben: Design, develop and deploy reproducible data pipelines using cloud-native tools. All our pipelines use infrastructure as code, have automated tests and are as re-usable and reproducible as possible; Connect with collaborators (scientists, project managers, etc.) to translate their needs and questions into technical requirements. We then use the requirements to build data pipelines and visualizations that are meaningful, comprehensible, and practical for them; Every data engineer has projects to lead and others in which there are only smaller contributions; Generate comprehensive documentation of the data products developed, both for technical and non-technical users; Promote good (coding/data) practices and lead by example
Anforderungen: MS/PhD or equivalent experience in Computer Science, Bioinformatics, or related field; 3+ years of demonstrated working experience as a data engineer; Experience with data pipeline design and creation is a must. The pipelines should use good coding practices and the right tool for the job. Experience with ETL jobs (e.g. AWS Glue, Databricks jobs, AWS Lambda) and orchestrators (e.g. AWS StepFunctions) is desirable; Solid experience in database design (partitions, schemas, choosing database type, etc.) and querying languages (SQL, pyspark or similar) is a requirement. Experience with delta lake (delta tables) is a plus

Aufgaben: The Department of Mathematics and Computer Sciences at Berry College invites applications for a full-time lecturer position in Mathematics to begin in August 2024
Anforderungen: Applicants must hold a Ph.D. in mathematics or a closely related field. Applicants who are ABD should include documentation that the requirements for the degree will be completed by August 2024

Aufgaben: Drive business transformation using Data, Analytics and AI; Lead all stages of Data, analytics & AI product development life cycle: from problem identification, conceptualization, prioritization to solution development and delivery; Collaborate with business and technology partners to co-create solutions anchored on customer care, human-centered design, frictionless services, and meaningful engagement; Engage in open-ended conversations, navigate through ambiguous situations and develop clarity; Develop Data and Analytics roadmaps. Deliver solutions with transformational impact to the Enterprise; Communicate, engage, and present roadmaps, use cases, solutions, & impact to executive/senior management; Deliver products and solutions in a timely, proactive, and entrepreneurial manner; Institutionalize best practices, contribute to research and experimentation efforts
Anforderungen: Bachelor’s/Master’s degree in an information technology/computer science or relevant domain. MBA or financial services industry experience preferred; 12-18+ years of relevant experience in data and analytics product & solution delivery; Traditional as well as modern statistical and machine learning techniques; Azure ML, OpenAI, Python, PyTorch, SQL, and TensorFlow

Aufgaben: The focus of this PhD fellowship lies on method development in representation learning for graphs, similarity measures and clustering methods for graphs. Relationship graphs extracted from data have the potential to describe correlations and dependencies among objects in a dataset beyond pairwise interactions, and are crucial to quantify complex relationships in, e.g., spatial omics. Generally, these relationship graphs may vary in number of nodes and edges, and additionally have labelled nodes, which makes comparison of such graphs very challenging. Furthermore, we want to incorporate knowledge of an underlying semantic relationship between the nodes of the graphs, independent of the extracted spatial graphs themselves which should be integrated using suitable representations and embeddings
Anforderungen: This position requires a Norwegian master's degree in physics, mathematics/statistics, computer science, or similar, or a corresponding foreign master degree recognized as equivalent to a Norwegian master's degree. If you are near completion of your master’s degree, you may still apply; You must document significant coursework in machine learning, pattern recognition, statistics, deep learning, and programming skills. Coursework in signal processing and physics will be considered a plus

Pensum: 80-100%
Aufgaben: As part of our research team, you will take a central role in applied research projects in the field of AI for intelligent maintenance systems; You will develop innovative approaches using state of the art statistical, machine learning and deep learning methods and publish your outcomes in scientific papers; You will develop and implement data-driven algorithms for detection, diagnostics and prognostics of incipient failures in industrial assets and infrastructures; You will combine engineering knowledge with data-science techniques (physics-informed machine learning); You will closely collaborate with our industry partners in order to implement your algorithms in the operational environment; You will have a chance to work on projects in diverse application fields with various industry partners; The focus of your work will be on algorithm research and development, with relatively little data management/engineering; You will have the opportunity to co-supervise student research projects...
Anforderungen: You have a master degree in engineering, physics, computer science, statistics, applied mathematics or a related discipline; Alternatively, you have a bachelor degree in one of the above with practical experience in applied data science projects; You have programming experience in Python. Experience with TensorFlow and Keras/PyTorch is an advantage; You have experience with applying data analytical and machine learning methods; Experience with deep leaning algorithms is advantageous; You have high oral and written communication skills in English and preferably also in German; You are curious to learn and develop new methods and algorithms and apply them in real industrial systems; You are motivated to develop your personal research skills, coached by experienced researchers; We encourage applications from proactive and self-motivated candidates with analytical thinking and strong problem-solving passion and abilities, good communication skills and original thinking

Aufgaben: Design and development of secure communication protocols for underwater multimodal mobile networks
Anforderungen: Early stage researcher or 0-4 yrs (Post graduate)

Aufgaben: Ultrasound are widely used at hospitals for medical imaging and allows both 2D (well-known from scanning during pregnancy) and 3D images to be created, which helps medical doctors in diagnosis and treatment of diseases. Transducers for 3D imaging are advanced and complicated devices. Commercial 3D transducers are most often made as so-called matrix transducers, but these are limited in the number of ultrasound emitters that can be practically fabricated, which limits the attainable image quality
Anforderungen: As a formal qualification, you must hold a PhD degree (or equivalent)

Abteilung: Advisory
Pensum: 100%
Aufgaben: You will be part of our international, dynamic Cybersecurity team and help clients respond to cyber-attacks, to recover from such, assess security vulnerabilities, develop threat models, define and implement security strategies or transform a customer's secure software development practices in an agile environment; You act as engagement manager for cybersecurity related projects (e.g. Vulnerability Management, Cloud Security, Security Architecture, Security Monitoring, IAM, Security Change Management, etc.) and become the trusted advisor of your clients; You will simultaneously work on multiple client engagements of varying size, scope and complexity; as such you will be responsible for all aspects of client engagements from scope definition to execution; You advise our clients on how they can improve their cybersecurity maturity and support them on their strategic cybersecurity roadmap and you are in charge for business development; You work together within a team of experts and a glo...
Anforderungen: You have at least 5 years of relevant experience in the field of cyber security and privacy; for Senior Manager at least 8 years; You have worked within a consulting environment or security department; You have a deep technical understanding and hands on experience in various cyber solutions such as Vulnerability Management, Cloud Security, Security Architecture, Security Monitoring, IAM, Security Change Management, etc; You have strong verbal, written and interpersonal skills with the ability to interact with all levels of management and staff; You have a master’s or bachelor’s degree or an equivalent professional qualification. Any further certificates such as CISSP, CISM, SSCP are a plus; You are fluent in German and English; French is a plus