463 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"BioData" Fellowship positions in United States
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 19 hours ago
review board (IRB) and other regulatory documents. Co-author project-related scholarly and other outputs. Co-develop training materials and recordings the suicide prevention training program. Participate
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-seq and next generation long reads sequencing from Oxford Nanopore. · Participate in the development of new computational methods for downstream analysis of genomics data and multiomics
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mentor for the postdoctoral appointee. Additional Required Department Minimum Qualifications: Ph.D. in one or more disciplines associated with architecture, geography, computer science, urban planning
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Qualifications Master’s degree from a recognized graduate art conservation education program, with a demonstrated concentration in photograph or paper conservation, or equivalent combination of education and
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. Some areas of particular interest include: genetics, evolutionary biology, neurobiology, developmental biology, and stem cell biology. Our lab uses both experimental and computational approaches
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in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. ---- Background
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Ph.D. in Computer Science, Data Science, Economics, Engineering, or related field Excellent scientific written and oral skills Experience in developing state-of-the-art optimization and prediction models
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flexibility, investment and planning under uncertainty, and the macroeconomic and policy implications of energy system transformation. Fellows will engage in rigorous empirical, computational, and theoretical