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Field
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 30 days ago
measurement. - Strong experimental skills and ability to develop, troubleshoot, and validate measurement workflows. - Strong data-analysis skills using Python, MATLAB, R, Origin, or similar tools. - Strong
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methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing environments Experience working in a classified
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background in mathematical optimization and modeling • Excellent programming skills (Python, Matlab, Julia, or similar) • Interest in energy systems, electric mobility, and battery technologies • High level of
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., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB). Additional Information
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relevant programming languages (e.g. Python, MATLAB), experience with MRI data processing, and broad expertise in cognitive neuroscience methods are particularly important. These skills should be
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Qualifications PhD in Mathematical Economics and Social Science Candidates should have experience in at least one of the following areas: Statistical programming and data analysis using R, Python, or Matlab
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to the effective date of appointment with a minimum of one year eligibility remaining. • Experience in computational data analysis and scientific programming (e.g., Python, MATLAB, or similar). • Demonstrated
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• Experience in molecular biology techniques • Experience in computational data analysis and scientific programming (Python, R, MATLAB) • Experience in connectome analysis • Experience in molecular dynamics
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of the following areas: Computer Science, Computer Science and Technology, or other disciplines with strong quantitative background. Proficiency in at least one programming language, such as R, C, Python or MATLAB
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programming/coding skills (e.g. Matlab, Python), and are quality scientific writers. Funding is available for up to two years, with renewal for year two based upon performance in year one. This position is part