Duties: This exciting role will undertake research on first-principle electromagnetic channel modelling that includes but is not limited to: Advanced electromagnetics methods for universal channel modelling, numerical methods for wave propagation in complex environments, statistical electromagnetics, computational electromagnetics, implementation of full-wave commercial solvers (e.g., COMSOL), standard 3GPP channel models
Requirements: A PhD degree (or equivalent) in Electronic Engineering, Applied Mathematics, Physics or other areas related to RF/Microwave Engineering; Expertise in advanced theoretical and computational electromagnetics; Recent research experience in the development of first-principle wave models; Recent research experience in the development of numerical codes for complex electromagnetic scattering scenarios, and the use of full-wave commercial electromagnetics software; Good knowledge of the main standard channel models (e.g., 3GPP)

Department: Engineering; Computer Engineering
Duration: 72 m
Duties: The Industry 5.0 paradigm prioritizes worker well-being, leveraging new technologies to enhance industrial productivity. The interdisciplinary goal of the project is to design an industrial ecosystem with a primary focus on worker well-being, enabling the integration of operators with automation, using Digital Twins to digitize and optimize production, and intelligently orchestrate the work environment
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: The PhD dissertation project will focus on how to experimentally capture hypothetical ductus (stroke order and direction of writing) reconstructed by experts and to design deep learning pipelines as well as experimental protocols to acquire and compare ductus reconstitutions. In addition, the PhD student will take part in the team's discussions on the history and evolutions of Greek handwritings across a millennium. She/he will help organize; jointly with the team; a number of workshops and conferences, participate in outreach activities of the project and present her/his research at scientific meetings
Requirements: Applicants should hold a Master's degree in Computer Vision or related fields with grades above average (Master's thesis must be completed by the start of the position), be highly motivated to conduct innovative transdisciplinary research at the intersections of Artificial Intelligence, Kinematics, Digital Humanities and Ancient History, have an excellent command of at least English, and be able to work autonomously within an internationally and institutionally diverse environment

Duties: You will provide support with teaching and also teach high-quality academic classes yourself in Mathematics. Your teaching assignment may include basic mathematics courses as well as more specialized courses in your research domain; You will supervise students and their Bachelor and Master dissertations
Requirements: You hold a Master degree in Mathematics, Physics or Engineering Sciences, or you will have obtained it by the time you start work; You did not yet obtain a PhD in Mathematics; You can demonstrate excellent study results; You have a very good and broad knowledge of analysis, dynamical systems and differential geometry

Duties: Utilize and develop bioinformatics solutions for the analysis of large-scale mass spectrometry experiments (DDA and DIA), focusing on the identification and quantification of MHC-bound peptides (immunopeptidomics); Explore, evaluate, and analyze external (e.g. PRIDE) and internal immunopeptidomics and immunogenomics datasets to support therapeutic target discovery and validation; Interpret complex datasets to drive biologically relevant findings in the context of immunopeptidomics; Collaborate closely with cross-functional research teams to design experiments and refine data acquisition strategies for improved data quality
Requirements: Master's degree +3 years of experience in Biochemistry, Chemistry, Bioinformatics, Computational Biology, or a related field. PhD degree is a plus; Rigorous understanding of mass spectrometry concepts and techniques, including the principles and application of data-dependent acquisition (DDA) and data-independent Acquisition (DIA) methods; Previous hands-on experience with mass spectrometry data analysis software, especially when applied to immunopeptidomics, and the familiarity with the role of MHC molecules in antigen presentation; Experience with RNA-seq and WES data; Strong coding skills in Python and/or R

Duties: Develop novel analysis algorithms and models to better understand and predict CasX editing outcomes and their effects in a therapeutic context; Work closely with Scientists and to inform experimental approaches for testing computational predictions; Effectively communicate analysis approaches and results with close collaborators and across the company; Maintain and improve our existing codebase of bioinformatics pipelines using software development best practices (i.e. version control, workflow management, metadata tracking); Foster a driven, fast-paced, dynamic, and fun environment in which to do rigorous science
Requirements: PhD in a quantitative discipline (e.g. Computational Biology, Bioinformatics, Biophysics, Systems Biology, Genomics, or equivalent); 2+ years experience developing novel algorithms/analysis methods for integrative analysis of genomics or other biological datasets; 2+ years experience in computational and statistical programming (python or R preferred), unix command line, bioinformatic toolkits, version control systems (e.g. git), and workflow management (e.g. nextflow)

Duties: Deliver best value and high quality service; Ensure quality control (QC) on all process and technical activities related to derived dataset, table, listing, and figure programming in accordance with corporate quality standards, WSOPs/Guidelines, ICH-GCP and/or other international regulatory requirements are performed; Assist in the coordination of project start-up activities, including Unix/PMED project area set-up, creation of global programs (e.g. setup.sas, formats.sas, etc.), tracking spreadsheets, and required documentation; Assist in the production and QC of derived dataset specifications, programming specifications, and other process supporting documents; Use efficient programming techniques to produce derived datasets, tables, figures and data listings of any complexity and QC low-medium complexity derived datasets, tables, figures and data listings; Check own work in an ongoing way to ensure first-time quality
Requirements: Knowledge of SAS and other relevant programming languages and processes within the GRO, Biostatistics, and Medical arenas

Duties: Adobe is looking for multiple Machine Learning Engineers from mid to senior level to use Generative AI and Machine Learning techniques to help Adobe better understand, lead, and optimize the experience of Adobe’s Digital Experience customers. Partnering with Adobe Research and other business units, the candidate will be building products that transform the way companies approach audience creation, journey optimization, and personalization at scale. You will join a diverse, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, collaborative and data-driven
Requirements: PhD or MS degree in Computer Science, Data Science or related field required; 5 to 10 years of applied research experience in software industry/academic research with experience in developing, evaluating ML models, and deploying models into production; Deep understanding of statistical modeling, machine learning, or analytics concepts, and a track record of solving problems with these methods; ability to quickly learn new skills and work in a fast-paced team; Proficient in one or more programming languages such as Python, Scala, Java, SQL. Familiarity with cloud development on Azure/AWS

Duties: Partner with AI researchers and bioinformaticians to develop novel computational methods to infer causality in disease progression; Work closely with biologists in Immunology and Oncology to solve biological questions and validate computational findings; Contribute to drug projects by providing support on target identification and validation, biomarker discovery, patient stratification, clinical trial design, etc; Analyze multi-omics and phenotyping data from research studies, clinical trials and real world databases to identify disease-driving cell types, pathways, and genes
Requirements: Ph.D. degree in bioinformatics, biology, computational biology or a relevant field. Experience in the pharmaceutical industry is preferred; 5+ years of industry experience, or 3+ years in industry plus 2+ years academic post-doc experience; Passion for in-depth understanding of biological questions and finding plausible answers with data analytics; Solid biology knowledge in Immunology or Oncology, being able to communicate comfortably with biologists

Duties: Defining the metrics for tracking the health of our marketplace, and build tracking to monitor this; Proactive analysis and modeling to identify opportunities to further develop the marketplace, including innovating and building cutting-edge auction mechanics/pricing; Partnering closely with R&D and Sales stakeholders to develop the strategy for growing the marketplace, including the product roadmap and Sales programs to drive growth; Conducting deep dives on marketplace impact to support high impact launches and Sales growth
Requirements: Bachelor's degree in Statistics, Econometrics, Applied Math, or related fields; Strong academic or professional experience with the latest auction theory; Strong knowledge of Python 3 and SQL; Entrepreneurial ownership and a deep desire to push the status quo; Strong and clear communication skills; Experience working with scaled marketplace and auction-driven businesses; Strong analytical/modeling experience tied to business outcomes

Duties: Serve as the bioinformatics lead on a collaborative project focused on characterizing induced immune responses in an in vitro immunogenicity model; Perform analysis of scRNAseq and proteomics data; Perform rational multi omic integration of resulting data; Use the relevant data to generate training sets for Machine Learning; Play a key role in data collection, model training, and deployment for property prediction; The postdoctoral fellow will also receive personalized training in relevant areas of Machine Learning or immunology, as needed
Requirements: Doctorate degree in bioinformatics or a related field; Understanding of basic concepts of immunology; Significant experience in single-cell RNAseq analysis pipelines; Excellent communicator able to write and speak about technical concepts to business, technical, and lay audiences

Duties: Lead and execute data-driven projects to drive insights and innovation in biotech research and development; Utilize cutting-edge ML/AI techniques to identify, implement, and advance state-of-the-art models, contributing to the enhancement of core platform capabilities and the acceleration of CRISPR-based drug innovation; Design and develop predictive/generative models and algorithms to support CRISPR-based drug discovery and gene editing medicine initiatives; Engage in collaboration with scientists, biologists, and curators to engineer ML features, enabling the interpretation of ML results within the context of the field; Drive the development and implementation of data strategies based on best practices, ensuring the security, accessibility, and interpretability of Scribe's proprietary data
Requirements: PhD in Computer Science, Data Science, Applied Mathematics, Statistics, Computation Biology or equivalent engineering fields; Demonstrated expertise with machine learning technologies and a proven track record of implementing deep learning architectures, either in industry or academia, for a minimum of 3 years; Proficiency in utilizing various tools and frameworks for machine learning and data science, such as PyTorch, Scikit-Learn, Tensorflow, Keras, AWS SageMaker, and others; Hands-on experience in ML/AI-based protein modeling, including familiarity with AlphaFold2, RoseTTAFold, ESM2, and similar technologies

Duties: Lead and individually contribute to data science and machine learning R&D projects; Use your expertise in data science, machine learning, and computer science to lead research projects and recommend solutions to technology and business problems; Interview candidates for open positions on our team; Lead and contribute to projects from early-stage research through development, in consultation with stakeholders; Provide technology leadership to yield innovative differentiating solutions; Implement and optimize state-of-the-art algorithms in distributed environments; Work with our Engineering teams to integrate your solutions into Epsilon PeopleCloud Digital Media Solutions platform
Requirements: Ph.D. in a computational, mathematical, engineering, or scientific field; Fluency in computer programming, data structures, and algorithm design; Proven analytic and modeling skills; proficient at implementing, and evaluating accurate and scalable solutions to business problems; Proven ability to lead development projects from conception through deployment; Proven ability to lead and conduct research projects

Duties: You will be working in the Oncology Biometrics Programming department providing statistical programming support related to the analysis and reporting process at project/study level for the delivery of the statistical programming aspects of clinical development. The scope of work includes, but is not limited to, clinical study report development, regulatory submissions, commercialization, and the scientific utilization of our data for AstraZeneca products. There are many career options that you can pursue for your development and progression
Requirements: Bachelor’s or Master’s (or local equivalent) degree in Mathematics, Statistics, Computer Science, Life or Social Sciences or related field; Ability to pay attention to detail and lead/work on concurrent studies and activities; Excellent verbal and written communication skills and ability to influence team members; Extensive SAS programming expertise to a high level within clinical drug development; Ability to work independently on the assigned programming tasks

Duties: With the continued growth of our market access, health economics and healthcare value demonstration teams we are looking to add to our team with the addition of a talented Senior Health Economist. You will have a genuine passion for understanding and communicating the value of healthcare through economic modelling and data analysis. This position will act as a Technical Lead for assigned health economics and other projects; mentor junior health economists; contribute to the growth and development of PROVE’s health economic solutions
Requirements: Post graduate qualification in Health Economics, epidemiology, statistics or medical sciences; In-depth understanding of the perspectives and evidence needs of a variety of stakeholders; Ability to demonstrate strategic insights; Experience in reviewing project deliverables

Duties: Work closely with compiler, firmware and system architects to enable new ML use cases; Work closely with compiler and ML researchers to enhance Machine learning acceleration capabilities; Assist with performance/power analysis of machine learning models; Develop software tooling/methodologies for SW enablement/optimization on ML accelerators; Work with FPGA engineers and firmware teams to perform early prototyping
Requirements: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience; 5+ years of experience as a ML Systems Engineer (or similar role); Experience in hardware-software co-design and performance modeling; Experience with Machine learning models, algorithms or accelerator architecture; Experience with at least 1 procedural programming language (C, C++, Python etc)

Duties: Provide strong leadership, mentorship of a large and diverse department of faculty and staff; Provide scientific direction/oversight of the Biostatistics and Bioinformatics Shared Resource; Build relationships with faculty and staff both in the Biostatistics and Bioinformatics Department and across the Moffitt Cancer Center to promote a collaborative environment
Requirements: Successful candidates must have a Ph.D. in statistics, biostatistics or related field and relevant research training and experience (currently Associate- or Full Professor-equivalent rank); Preference will be given to applicants with an outstanding record doing team science or collaborative data science, specifically in cancer

Duties: We’re using technologies like Python, Terraform, Kubernetes, Docker & Pub/Sub to run event-based analytics pipelines, processing new data points every day on the Google Cloud Platform; We have developed an ML Ops stack allowing us to seamlessly deploy our models into a production environment; We’re rolling out new features through fully automated CI/CD pipelines including code reviews & automated tests; We take responsibility for the full DevOps cycle, but thanks to managed cloud services & automation, we spend most of our time working on new features & architecture optimisations, rather than responding to ops issues
Requirements: completed degree in computer science or a related subject; at least four years of experience in data engineering (setting up and operating data pipelines in big data/analytics environments); at least two years of experience with one or more of the major cloud providers (GCP/Azure/AWS); experience in software development with Python, knowledge of tools such as VS Code, PyCharm, git, Jupyter, pip, conda, CLI

Duties: Define, analyze, and review simulation software requirements to meet defined and anticipated testing and training needs; Collaborate with other engineering disciplines in planning, design, and development of simulation interfaces to ensure software and hardware performance and compatibility; Use a model-based approach to design simulation software and implement functionality, conduct design reviews and unit tests; Write test plans and test cases, execute test procedures for integration and system-level testing; Write test scripts for robustness and failure injection tests
Requirements: B.S. in one of the following engineering degrees (M.S. preferred): Aerospace, Mechanical or Electrical Engineering, Modeling and Simulation or Engineering Physics; Model-based design and test using the Simulink/Stateflow tool chain; Simulation software development in a relevant subject matter area: robotics, electrical systems, propulsion, navigation, general aerospace flight control, UAS or payload control

Duties: Understand each business line and payment scenarios well, design Red Flags to monitor potential compliance risk scenarios; Optimize and iterate compliance strategy standardly, systematically, timely and proactively; Design and develop machine learning algorithms to detect suspicious transactions and accounts effectively and assist investigation procedures efficiently; Discover potential syndicates and concerted behavior communities from large-scale graph data based on graph neural networks
Requirements: Bachelor and above with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines; 2 years and above relevant experience, with solid experience with data structures and algorithms; Familiar with at least one framework of TensorFlow/PyTorch/MXNet and its training and deployment details; Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, etc; Familiar with big data related frameworks and applications, those who are familiar with MR or Spark are preferred

Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale; Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
Requirements: 6+ years industry experience and an advanced degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Experienced in team management and people management; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset

Workload: 100%
Duties: Capacitate teachers, advisory teachers, officers, inspectors, principals on inclusive education practices; Support in setting up tutoring groups for learning support; Support the implementation of visual and hearing screenings; Design continuous professional development programmes on inclusive education
Requirements: Knowledge and understanding of inclusive education (degree or working experience); Training of trainers’ skills or adult education; Good command of written and spoken English; Monitoring and evaluation skills; Strong leadership; Residence in Switzerland or Germany

Duties: Carry out research in fields of interest to the Research Group, such as: Distributed Ledger Technology; Software Engineering; Digital Identities; Privacy-Enhancing Technologies, e.g., Zero-Knowledge Proofs; Provide guidance to PhD students; Disseminate results through scientific publications in outlets on the intersection between Information Systems and Computer Science; Prepare research proposals to attract industry partnerships as well as national and European grant projects ; Manage research projects and prepare project deliverables ; Provide guidance to Master students and PhD students that submit work to conferences or journals
Requirements: PhD degree in Computer Science, Applied Mathematics, Applied Physics, Cryptography, or a related field; Experience in publishing high-quality research, as demonstrated by research under review or published in 1stquartile conferences and journals (according to Scopus); Experience in research supervision; Strong knowledge of quantitative and/or computational research methods, e.g., performance analyses of novel or existing tools and algorithms

Duties: Allianz is a multinational financial services company. Its core businesses are insurance and asset management. The company is one of the world's largest insurers and financial services groups
Requirements: Allianz Switzerland has a slot for 1 job at www.acad.jobs/math-jobs.com. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: The doc.funds project "Discrete Mathematics in Pairs" offers 12 PhD positions in Graz, Austria. These positions are funded by the Austrian Science Fund (FWF) for up to four years and are available from Oct 1, 2024. The gross salary for the position is 34500 Euro per year
Requirements: PhD students are required to hold a master degree in Mathematics or another relevant field when they begin in our graduate school. Applicants who will finish their master degree in 2024 can apply and should report on their progress in their application