792 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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and present experimental data. This includes applying computer analysis and simulation programs to interpret experimental data and characterize battery electrode materials and interfaces. Adapt and
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at least one relevant programming language (e.g. R or Python.) Proficiency in a UNIX-based high-performance computing environment. Job Duties Design of scientific studies using existing genomic datasets
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motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer
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, rheology, parallel computing and strong analytical skills. PREFERRED: Familiarity with electrolytes; or experience with AI-based chemical discovery. Research scientist position will be offered
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Position Description Postdoctoral Scholar - 106045 Division: AM-Applied Mathematics and Computational Research Berkeley Lab’s Center for Advanced Mathematics for Energy Research Applications
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Job Description A postdoctoral scholar position is available in the Computational Electromagnetics and Antennas Research Laboratory (CEARL) in the Electrical
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computational approaches. The successful applicant will join Dr. Carlos Blanco's research group with significant academic freedom to pursue independent research directions. The postdoc will work closely with
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a strong background in Biochemistry, Mathematics, and/or Mechanics (experimental and computational methods (use of OpenFOAM and/or COMSOL)) are welcome to apply. Experience in blood and animal
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. The labs are jointly pursuing projects probing the intersection of metabolism and computational neuroscience. We are seeking to integrate metabolic signals with canonical computational frameworks to further