Duties: The Department of Physics at the University of West Florida in Pensacola, FL is seeking candidates with expertise in any area of Physics for a full-time Visiting Lecturer appointment starting August 2022. The successful applicant will be expected to provide exceptional instruction at the undergraduate level. Teaching assignments will be in the areas of introductory algebra and calculus-based Physics and related fields
Requirements: PhD in Physics, or a closely related discipline from an accredited institution. Candidates should possess the following: good communication skills; have recent teaching experience; knowledge of high impact practices and evidence-based teaching; interest in teaching lower-division introductory physics courses

Duties: Preparation by co-evaporation of chalcopyrite films and solar cells; Photoluminescence and solar cell characterisation; Data analysis and modelling; Publications in international journals and conferences; Thesis writing
Requirements: Master in Physics (or equivalent) with very good grades; Good background in solid state physics, preferably in solar cells, semiconductors; Self-motivated, committed and curious; Creative and able to think independently; Excellent command of English

Duties: A teaching assistant professor: Teaches 7 undergraduate courses per academic year during the Fall, Winter and Spring quarters; Optionally teaches additional courses during the Summer quarter for additional pay; Incorporates innovative teaching methods in courses; Continues professional development during their career, typically in pedagogy and/or mathematical education; Participates in curricular development, especially in precalculus, business calculus and foundation seminars courses; Participates in self-governance of the Department of Mathematics as specified by the governing documents and procedural rules on file; Serves on departmental and university committees; Contributes to assessment of the program; Assumes other service duties as assigned by the department chair
Requirements: PhD in Mathematics; Teaching experience at college level math courses

Duties: Perform quality assurance checks on medical imaging data collected during medical and device clinical trials to ensure protocol specific requirements are met; Perform established image processing techniques (converting imaging formats, contouring, performing preliminary measurements of lesions and volumes) across multiple modalities (including but not limited to MRI, CT, US, ECHO, DXA, etc.) using proprietary software as well as other third-party software; Assist in developing imaging protocols to obtain required study metrics based on clinical trial protocols; Write (in English) technical documents related to the study required imaging procedure
Requirements: Bachelor’s Degree (Master’s or PhD preferred) in biomedical engineering, biomedical sciences (or similar field), with knowledge of medical imaging from experience performing, reviewing, and/or analyzing medical images in either a research or clinical setting; 1-3 years of experience in clinical research or imaging related field, with at least 2 years of experience in an imaging center; Experience working with clinical trials or within the pharmaceutical environment is preferred

Duties: Working closely with IMD faculty on the development of new upper-level undergraduate and graduate courses for the program, in particular on fundamental aspects of imaging and device physics and artificial intelligence in application to biosensor and imaging data; Acting as a lead instructor for 1-2 IMD courses per semester; Supervising student laboratories across various courses in IMD; Providing general oversight of the IMD curriculum: identifying course needs, ensuring adequate hardware and software resources for student laboratories, coordinating educational content
Requirements: The ideal candidate will have a graduate degree in electrical engineering, physics, biomedical engineering, or related discipline. Strong competence in signals and systems, imaging and sensor physics, and related algorithms and artificial intelligence techniques is essential to this role. The candidate should possess graduate-level research experience and publication track-record in at least some of these areas. The position requires the ability to conduct laboratory experimentation and debug software and hardware issues with laboratory equipment

Duties: The Entropy for Energy Laboratory at Johns Hopkins University's Department of Materials Science & Engineering (PI Corey Oses) has openings for postdoctoral researchers in computational materials science. Projects will focus on the discovery of high-entropy materials for clean hydrogen production, waste-heat conversion, and electric grid technology. Postdocs will be expected to perform high-throughput ab-initio calculations and employ machine learning/artificial intelligence algorithms for the analysis of materials synthesizability, stability, and functional properties
Requirements: Doctorate in Materials Science, Physics, Chemistry, Computer Science or related fields; Excellent communication skills in English, both written and verbal. The dissemination of research findings through peer-reviewed articles and presentations is mission critical

Duties: Zentrale Ansprechperson für alle Fragen der Nachhaltigkeit und Betreuung des Nachhaltigkeitsmanagements; Eigenständige Überwachung neuer regulatorischer Anforderungen mit Bezug zu Nachhaltigkeit, Gap-Analysen sowie Erstellung interner Richtlinien und Prozesse; Erstellung CO 2 -Bilanz, Kompensation, Zertifizierung sowie Veröffentlichung; Aufbau und laufende Betreuung des Monitorings und Reportings von Nachhaltigkeits- und Diversity-Kennzahlen für regulatorische sowie interne Steuerungszwecke, insb. Modellierung unserer CO 2 -Emissionen und quartalsweises Reporting zur Reduktion unserer Emissionen; Aufbau und Durchführung der Prüfprozesse und des Reportings im Rahmen des Lieferkettensorgfaltspflichtengesetzes; Definition, Koordination, Weiterentwicklung und Durchführung unserer Nachhaltigkeitsinitiativen und -projekte; Unterstützung der internen und externen Nachhaltigkeitskommunikation sowie bei der nachhaltigkeitsbezogenen Berichterstattung; Mitarbeit in internen Gremien im Ko...
Requirements: Erfolgreich abgeschlossenes Studium (Bachelor, Master oder Diplom) im Bereich Sustainability/Nachhaltigkeit, alternativ in Physik, Mathematik, Informatik und Natur-, Ingenieur- oder Wirtschaftswissenschaften mit entsprechend quantitativ, analytisch oder technologisch ausgerichteter Vertiefungsrichtung; Ausgeprägte analytische und technische Fähigkeiten (Tool-Erstellung, Low-Code-Entwicklung); Gute Programmierkenntnisse in R oder Python; Routinierter Umgang mit MS Office (insbesondere MS Excel); Sehr gute Deutsch- und Englischkenntnisse; Exzellente Kommunikationsfähigkeiten, hohe Teamfähigkeit sowie grosse Einsatzfreude; Interesse an Themen rund um alle Aspekte von Nachhaltigkeit sowie an der Analyse regulatorischer Anforderungen (erste Erfahrung in entsprechenden Projekten von Vorteil); Spass am Aufbau und der Gestaltung neuer Management-Prozesse; Absolute Zuverlässigkeit, Sorgfalt und Vertrauenswürdigkeit

Duties: A postdoc position is available in the Saha Lab at the Institute of Molecular Biotechnology (IMBA) in Vienna (Austria) on molecular mechanisms of germ cell fate in C. elegans; with specific emphasis on role of the conserved non-membrane-bound organelle ‘Nuage’ (called ‘P granule’ in C. elegans). The project is at the interface of an important biological question related to fertility and an emerging field studying the role of liquidliquid phase separation in biological systems. P granule was the first cellular organelle to be characterized as being liquid-like, but how it contributes to germ cell fate remains unclear
Requirements: The ideal candidate should be highly motivated, creative, independent and driven by understanding how biological systems work at the molecular mechanistic level. S/he should hold a PhD in biochemistry, biophysics, cell or developmental biology. Background in RNA biology or nuclear import/export mechanisms is desirable. Prior experience with C. elegans is valuable but not required

Duties: The subject includes methods for storage of thermal energy and applications of these methods in the energy system. This includes sensible as well as latent thermal energy storage and storage through thermochemical reactions. The subject includes experimental work as well as modelling, with a focus on the experimental work
Requirements: An individual who has obtained a PhD or equivalent research expertise is qualified for appointment as an assistant professor. Candidates who met those qualifications within five years prior to expiration of the application period should be prioritized. Other candidates may also be considered if there are extraordinary grounds for doing so. Extraordinary grounds refer to illness, parental leave or similar circumstances

Duration: 2 y
Duties: The Department of Environmental Health Sciences at Columbia University Mailman School of Public Health seeks up to three postdoctoral scientists for work on infectious disease modeling. Successful candidates will support multiple projects investigating nonlinear error growth in infectious disease systems and developing model-inference frameworks for simulation of infectious agents, inference of critical epidemiological characteristics, counterfactual simulations, and projections and forecasting. The postdoctoral scientists will join a dynamic team of computational biologists, epidemiologists, and mathematicians studying a range of infectious diseases, including influenza, COVID-19, malaria, dengue and anti-microbial resistant organisms
Requirements: Candidates applying for these positions must have or be near completion of a doctoral degree in Computational Biology, Mathematics, Statistics, Epidemiology or a related discipline. Persons with a strong background and interest in Bayesian statistics, mathematical modeling and/or infectious disease dynamics are encouraged to apply. Experience programming in languages such as Matlab, R, or Python is required

Duties: As a member of our highly multidisciplinary team you will develop modules for vehicle and machine automation in particular sensor data analysis and fusion (camera, laser, radar, odometry, GNSS, etc.), localization & mapping as well as testing and validation; You will participate in the development of machine learning systems for object detection, classification, pose estimation and understanding of scenes; You take into account latest research results and requirements of industrial partners
Requirements: A university degree in computer sciences, electrical or mechatronics engineering or a comparable technical field; Very good programming skills (C, Python) and knowledge of current development and integration toolchains; Linux and embedded systems know-how; experience with ROS; GPU programming and experience with computer vision (especially machine learning methods) would be beneficial; Expertise in Software Engineering practices; Willingness to learn and work in a highly interdisciplinary field; Strong communication skills; Proficiency in English; proficiency in German is advantageous but no requir.ement

Duties: Perform data analysis for research projects: Work collaboratively with research groups for the analysis of single-cell and bulk transcriptome datasets. Perform quality control, sequence alignment, gene and splicing statistical analyses and functional regulatory from next generation sequencing experiments. Integrate datasets across from different patients, disease states and across species. Evaluate the contribution of complex biological or technological covariates from large-scale genomic results (e.g., batch effects, sex). Evaluate results at the gene, pathway and systems-level, integrating detailed biological knowledge at different steps in the analysis. Apply statistical analysis or machine learning analysis methods. Customize data visualization results using existing software toolkits (e.g., R, python). Prepares manuscript materials for publications and reports about research projects for presentation at scientific meetings
Requirements: Master's degree in a related field; 2-5 years of work experience in a related job discipline; Experience with diverse genomics data type (RNA-Seq, genome-sequencing, ATAC-Seq); Experience programming in Python and cluster-compute environments; Background in statistics and/or software development and/or Machine learning/API

Duties: The successful candidate will drive the identification of disease mechanisms suitable for therapeutic development through the use of cutting-edge bioinformatics & integrative data science building towards a compelling human data package and validation plan
Requirements: PhD in Bioinformatics, Computational Biology, Systems Biology, Genetics or similar discipline with postdoctoral experience and 3+ years of industry experience; A strong track record of analyzing high-dimensional human data (transcriptomics, proteomic, metabolomic, human genetics) and methods of generating and analyzing these data types will be required; The subject will have strong programming skills and experience with common bioinformatics programming languages (e.g. Python, R, Bash) to implement workflows in HPC and cloud environments

Duties: Build robust pipelines and ad-hoc scripts to analyze massively parallel sequencing (NGS) genomic data and organize the results to enable further analysis; Write production-quality implementations of bioinformatic tools and machine learning algorithms for inclusion in Illumina’s DRAGEN Bio-IT software; Support the assay development team with experimental design and data analysis; Assist in developing novel and optimizing existing algorithms to improve product performance and patient outcomes
Requirements: Must have minimum 5 years of experience in a similar position including general experience in Life Sciences, Genomics or Pharmaceutical industries; Strong programming and scripting; demonstrate ability to write readable, well-documented and unit-tested code; Experience with statistical and mathematical modeling with genomic data; machine learning techniques, Bayesian statistics and multivariate analysis are a plus; Experience with building/supporting/using bioinformatic pipelines

Duties: Participates in the Department of Immunology’s independent research under the direction of the Director of Immunoinformatics, assisting with the analysis and interpretation of data; Leads the development and establishment of standard analytical workflows for assigned projects; Contributes to the preparation and submission of manuscripts for publication as needed, including drafting and editing methods, results, and discussion of the research; Participates in collaborative research with interdepartmental investigators in basic and clinical research, particularly within the realms of cancer immunotherapy studies
Requirements: Bachelor's degree is required; Seven (7) years of relevant post-degree work experience is required

Duties: Develop and apply computational approaches for modeling of biological systems such as metabolic models to generate insights from genome-scale, thermodynamics, and/or kinetic perspectives; Develop custom mathematical/algorithmic modeling solutions to facilitate and optimize data processing and analysis workflows and design of experiments at various platforms such as continuous/fed-batch fermentation or small-scale platforms; Analyze & generate insights from multi-omics data (e.g. genomics, transcriptomics, proteomics, metabolomics) in the context of metabolic network landscape to deliver actionable hypotheses and recommendations
Requirements: Ph.D. in bioinformatics, bioengineering, chemical engineering and/or related field, and 0-2 years related experience; may include post doctoral experience; or equivalent combination of education and experience; Expertise in systems biology and/or omics data analysis, and comfortable working with large datasets in the context of large metabolic networks; Expertise in metabolic pathways, constraint-based modeling, building genome-scale metabolic networks from genome sequences, and analyzing intracellular flux distributions

Duties: The Senior Bioinformatics Research Scientist will work as a Computational Biologist/Data Scientist focusing on clinical methods development for NGS data, including analytical workflows, comparative analyses, and development of QC methods and results. Successful candidate will design and conduct data analyses and research on next-generation sequencing (NGS) data as a core team member collaborating with R&D bench scientists and software engineers during the clinical product development process, using cloud compute resources
Requirements: PhD with 1+ year experience, or MS with 3+ years experience, or BS with 5+ years experience in an industrial or academic setting working with clinical and biological data and underlying technologies including bioinformatics methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools; At least 3 years of experience working in a regulated industrial life sciences environment; Significant relevant publication or patent record, and/or at least 2 years of relevant research and/or development experience

Workload: part-time
Duties: The Department of Mathematical Sciences at DePauw University invites applications for a Part-time Assistant Professor position for Fall 2022, teaching one upper-level statistics course, Regression Analysis
Requirements: Teaching assignment includes teaching in the classroom, preparing teaching material, evaluating students’ work, conferring with students on the course material, and keeping office hours

Duties: Work within the Division of Cancer Predisposition to learn and provide pipeline assistance and/or development for genetic studies in cancer predisposition; Assist with preparation of project reports, presentations, and manuscripts describing results, including description of the approaches used to obtain these results; Participate in the development of operations and procedures for the collection, editing, verification and management of data; Work collaboratively with guidance from scientists and clinicians within the Division of Cancer Predisposition
Requirements: Bachelor's degree is required. Master's degree or PHD is preferred; Six (6) years of relevant experience is required

Duties: Leverage computational biology and machine learning expertise to develop novel bioinformatics solutions and push state of the art; Document your methods and analyses to allow reproducible research; Present and communicate your findings in cross-functional teams; Provide feedback and suggest research directions based on analyses performed
Requirements: PhD in Bioinformatics, Computational Biology, Computer Science, or Statistics, or other quantitative field combined with 4+ years experience analyzing large complex genomic datasets, or equivalent combination of education and experience; Experience in secondary analysis tools, algorithms, databases for sequencing data; Experience with analyzing genome sequencing data from multiple technologies; Experience with using machine learning to solve biological problems; Good knowledge in genomics and/or statistics; Proficiency in programming, e.g. Python, R, Java, C++

Duties: Develop novel algorithms for classifying variants of unknown significance, and modeling therapeutic response and polygenic risk in patient populations; Integrating information from detailed clinical phenotypes, functional genomics, single cell and CRISPR high-throughput experiments, selective constraint in large cohort sequencing data, and protein structure; Be the primary contributor for scientific collaborations with Illumina’s academic, nonprofit, and industry partners, and lead a multidisciplinary team focused on achieving these aims; Publish and disseminate methods and findings and incorporate them into software products to the benefit of the wider genetics community
Requirements: PhD in statistical genetics, computer science, or computational biology

Duties: Lead a team that is trying to redefine personalized preventive and regenerative medicine; Apply cutting-edge machine learning, data science and biostatistical techniques to detect human age-related diseases as early as possible; Use your creativity to solve challenging problems
Requirements: We're hiring a Senior Data Scientist with expertise in machine learning and predictive statistics (analytics and modeling). Because you will be working with medical and biological datasets, some background in biomedical sciences is ideal. A deep background in Bayesian methods is highly desirable, as is fluency in R.‍

Duties: The Research Data Analyst I (Bioinformatics) will be responsible for conducting bioinformatics or statistical analyses in R, Python, SAS, or some other statistical software package under supervision of Principal Investigators from the Gastrointestinal Oncology (GI) Program
Requirements: Bachelor's Degree in Biostatistics, bioinformatics, computer science, computational biology, epidemiology, or related field plus 5 years of relevant experience

Duties: Extensive collaboration with colleagues across “Translational Genomics” who are responsible for the generation and analysis of data arising from our capabilities in molecular profiling, spatial analysis and perturbation assays; Extensive collaboration with colleagues in Neuroscience (and other Therapeutic Areas) who will take the biological insights generated and turn them into actionable hypotheses and lead molecules; Design and execution of targeted analyses to uncover novel therapeutic targets and biomarkers of disease heterogeneity, progression, and treatment response
Requirements: PhD training with a strong focus on human genetics, Computational Biology or a related field; Substantial (typically at least 3-5y) experience in academia or industry (as a postdoc or equivalent role) engaged in computational biology research or a related field; A thorough understanding of biostatistics & statistical genetic methods

Duties: The Senior Scientist in this role will develop and apply methods for the integration of GWAS summary results with other types of data e.g. Metabolomics/mQTL, eQTL, functional genomic annotations, gene networks, estimation/partitioning of heritability, Mendelian Randomization to understand causal direction, and fine mapping. The successful candidate will also collaborate with experimental, clinical and bioinformatic scientists to address mechanism specific questions and support decision making through genomic insight
Requirements: PhD in the field of statistical genetics, bioinformatics, epidemiology or biostatistics with postdoctoral experience and 3+ yrs of experience in an industry research environment. Track record of genomic discovery in large scale GWAS and WES/WGS datasets in academia and/or industry with electronic health record derived phenotypes highly desired; Knowledge and experience examining the range of genome-wide and phenome-wide analysis approaches, encompassing genotype and sample q.c., phenotype evaluation, imputation and methods to address relatedness, population structure, case-control imbalance in large WES/WGS and GWAS datasets