Duties: Atmospheric modelling for wind energy; Validation of meteorological models with remote sensing instruments; Application of Doppler wind lidars to wind energy relevant subjects both onshore and offshore such as wind resource estimation, investigation of siting conditions, wind turbine control, and validation of load calculations and power curves; Exploration of new remote sensing techniques, for example radars and satellite-borne instruments, that can support understanding of aspects of the atmospheric properties relevant for wind energy, and new applications of remote sensing
Requirements: You have a technical/scientific education at PhD-level with international recognition within the research field. You are able to combine a high research level and publication activity, with promotion of external cooperation and exploitation of research results in interaction with industry. Furthermore, you can document your ability to attract research funding from national and international research programs

Duties: Bando di selezione n. 1/2024 per il conferimento di n. 1 assegno, tipo A, per lo svolgimento di attività di ricerca
Requirements: Progetto dal titolo "EDP nonlineari evolutive e Fluidodinamica/Nonlinear Evolution PDEs and Fluid-dynamics"

Duties: Architect, develop, test, maintain Bioinformatics Pipeline Systems; Research and develop new algorithms, programs to support and improve Bioinformatics system efficiency; Data management, data maintenance and database administration; Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilities; Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Requirements: A Bachelors Degree with a major in Bioinformatics, Computer Science, or a related discipline; Knowledge of Java, JavaScript, Python, Bash Scripts; Knowledge of Database, SQL; Knowledge of GIT Source Control, Windows, and Linux; Ability to handle periodic on-call duty as well as out-of-band requests

Duties: A Postdoctoral Research Fellow or Research Associate position in biostatistics and biomedical informatics is available at Harvard T.H. Chan School of Public Health. The positions involve developing and applying statistical and computational methods for analysis of electronic health records ( EHR ) data including narrative data extracted via natural language processing, codified phenotype data as well as large scale genomic measurements. We seek an individual with strong statistical and computing backgrounds and who has expertise in statistical and machine learning methods for big data. The work will involve development and application of statistical and informatics methods and algorithm for analyzing EHR data
Requirements: Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, as well as good written and oral communication skills; for the Research Associate position two years of postdoctoral experience is preferred

Duties: We are seeking a candidate with expertise in computational and systems biology to work as part of a multidisciplinary team developing methods relevant to the study of genetics, gene regulatory networks, and the use of quantitative imaging data as biomarkers. Our goal is to use these methods to better understand the development, progression, and response to therapy
Requirements: A PhD in computational biology, biostatistics, applied mathematics, physics, biology, or related fields and demonstrated skill in methods and software development and the analysis of biological data are required

Workload: 60-100%
Duties: Durchführung von Literaturrecherchen zur Blickbewegungsanalyse und zum Einsatz von Eye-Tracking-Technologien im medizinischen Kontext; Analyse existierender Studien und Erkenntnisse zur Nutzung von Blickbewegungsdaten für Trainingszwecke im chirurgischen Bereich; Entwicklung eines blickbewegungsbasierten Trainingskonzepts für Chirurginnen und Chirurgen, das auf den vorhandenen Erkenntnissen aufbaut; Durchführung von Eye-Tracking-Analysen zur Datenerhebung; Erstellung von Berichten und Präsentationen, um die Ergebnisse zu kommunizieren
Requirements: Immatrikulierte/r Studierende/r im Bereich Psychologie, Kognitive Neurowissenschaften oder einem verwandten Fachgebiet; Interesse an den Themen Lernen, Training, kognitive Prozesse und Eye-Tracking; Kenntnisse oder Erfahrungen im Umgang mit Eye-Tracking-Technologien und Auswertungssoftware sind von Vorteil; Theoretisches Hintergrundwissen zum Eye-Tracking sowie zur Planung und Durchführung von Studien; Methodisches Wissen und statistische Kenntnisse zur Analyse von Blickbewegungsdaten; Eigenständige und strukturierte Arbeitsweise; Kommunikationsstärke und Teamfähigkeit

Duties: The Lewis Lab is seeking a postdoctoral fellow with expertise in one or more of the following areas: nanoparticle synthesis, colloidal science, rheology, or granular media. The successful candidate will join a multidisciplinary team of researchers supported under a new ARO MURI award. The goal of this project is to develop a fundamental understanding of the transient yielding and printing behavior of highly heterogeneous particle systems
Requirements: Candidates must have a Doctorate degree in Chemistry, Materials Science, Chemical Engineering, or Applied Physics by the time the appointment begins

Duties: Spearhead the integration and analyses of multi-omic datasets to discover the causes of rare and hard-to-diagnose diseases; Manage in- and out-sourced multi-omic data collection efforts; Collaborate with your ICR team members to streamline and optimize novel methodologies to identify disease-causing genomic/transcriptomic variants and find actionable targets for therapeutic development; Create and test in silico human disease models to improve predictive diagnostics
Requirements: A PhD and at least 5 years of translational bioinformatics experience, with a focus on the integration of multi-omics level datasets; A deep background in genomics, computer programming, machine learning, mathematics, probabilities and statistics, including a philosophical understanding of probability theory and Bayesian statistics; A drive to work in an individualized medicine paradigm with the translational potential to help millions of suffering people

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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)

Duties: 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
Requirements: 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

Workload: 100%
Duties: Review of Mechanical Completion (MC) requirements and specifications defined by the project specific PO; Coordinate all project MC inspection activities including internal and external MC activities; Provide technical support throughout the construction activities, leading up to and during the manufacturing stage until the package is mechanically complete; Mark-up P&IDs for different pipe classes and produce the pipe test packs, to be added to the project specific PCD; Create, issue and maintain the flange management drawings, to be added to the project specific PCD; Perform all work related to the completion of the MCCR's as defined in the project specific MC procedures and specifications
Requirements: Engineering apprentice or experience; Good computer skills; Rotating equipment or similar package experience; HNC/Equivalent in Mechanical and/or Electrical Engineering; Relevant experience within related industry including knowledge of industry practices & standards; Experience of managing large and complex packages

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: We are seeking outstanding, creative researchers with the skills to explore the new physics of interactions between topologically structured light and structured matter emerging at nano- and picometre scales, with a view towards the development of disruptive light-enabled technologies
Requirements: You will hold a PhD or equivalent qualification in Physics or another subject relevant to the field of optics/photonics, and proven experience in experimental optics/photonics research. Well organised and driven, you will demonstrate initiative and problem-solving skills, and strong powers of communication, alongside a collaborative approach. Prior experience in computational modelling, the application of machine learning, and development of precise optical experiments and instrumentation will be advantageous

Duties: The research project concerns inducing chemical changes in solutions of organic compounds by impact of free electrons on these. The solutions will be in the form of liquid microjets in vacuum. The researcher will be responsible for development and practical implementation of the experiments, and for the analysis of the induced changes and chemical modifications. The position is initially open for six months with a possibility of prolongation
Requirements: Competence in organic synthesis, photochemical and analytical techniques. Especially desirable is hands-on experience with UV-VIS spectroscopy, fluorescence spectroscopy and HPLC-MS. Experience with nucleic acid self-assembling nanostructures is an advantage

Duration: temporary
Duties: Research in this area, has as its object the study of physical systems, mainly solid state, whose structural characteristics have specifications relevant to the nanoscales (from 1000 to 1 nanometer). Nanostructured materials, reduced-dimensional materials (2D, 1D, 0D) and nanodevices, are part of this class of systems. In the nanodevices sector, of particular interest are devices designed for energy transformation (energy harvesting), for information processing (ICT devices) and for advanced sensing. The study and characterization of nanostructured materials includes the characterization of mechanical, electrical, magnetic, piezoelectric and piezoresistive properties
Requirements: PhD or equivalent in Physics

Duties: Electrochemistry deals with the study of chemical processes that involve the movements of electrons. It explores the relationship between electricity and chemical reactions, particularly focusing on how electrical energy can be used to induce or drive chemical changes, and conversely, how chemical reactions can generate electricity. Electrochemical phenomena are pervasive in various fields, from batteries and fuel cells powering our devices and vehicles to corrosion processes and production of chemical products and metals in electrolytic processes. Electrochemistry thus plays a vital role in environmental science, materials science, and energy conversion technologies, making it a fundamental area of study with diverse applications
Requirements: Experience of postdoctoral research in a research environment other than the university at which the applicant obtained his/her PhD degree; Extensive experience of fundamental electrochemical measurements and interpretation; Scientific expertise demonstrated through scientific publications in the research area of electrochemistry; Very good oral and written proficiency in English

Duties: Develop novel algorithms and methodologies for 3D tomographic reconstruction and inverse scattering analysis; Performing optical tomography setup simulation and modeling each of its optical components utilizing optical system design software like Zemax, OSLO, etc; Characterization of 5D-QUIP optical tomography; Analyze and interpret experimental data to draw meaningful conclusions and insights; Create procedural workflows for system control and develop image analysis routines using Python and Java; Benchmark the image quality, resolution, and penetration depth of the optical tomography system
Requirements: This position requires a master’s degree or equivalent in physics, a background in optics/optical engineering/computational optics and an interest in bio-imaging; Background in computational optics; Experience in optical tomographic reconstruction and inverse scattering analysis algorithms; Background in image analysis, and optics simulations; Experience in optical microscopy and tomography

Duties: Development of nanofabrication processes in the NTNU Nanolab cleanroom; Photonic chip design, manufacturing, and optical testing; Collaborate with an international network of scientific partners; Report research findings in international conferences and scientific articles; Take part in the Electronic and Telecommunications PhD program and fulfill the requirements for a PhD degree
Requirements: The qualification requirement is that you have completed a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in photonics, materials science, physics, electrical engineering, or nanotechnology (and other revelant disciplines) with focus on photonics

Duties: 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
Requirements: As a formal qualification, you must hold a PhD degree (or equivalent)