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Field
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using Python and related tools. Prepare manuscripts for publication in peer-reviewed journals and present research findings in conference presentations, technical reports, and other scientific forums
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results by publishing in peer-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package
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results by publishing in peer-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package
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-engineering skills, including experience with Fortran and Python and, preferably, C or C++, APIs, dynamic-link libraries, version control, Linux environments, and high-performance computing. The candidate
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related quantitative STEM field. • Strong programming skills in Python and/or R; experience with SQL and Linux/Unix is desirable. • Demonstrated research experience in biomedical informatics, artificial
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massively parallel computing systems, including GPU-accelerated platforms. Develop and maintain scientific software, primarily in Python , using modern practices for software development, testing
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; advanced statistical and data analysis skill (preferably in Matlab, R, Python) and a track record of peer-reviewed papers of high ambition and quality (ideally published in top-tier journals) are
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statistical and data analysis skill (preferably in Matlab, R, Python) and a track record of peer-reviewed papers of high ambition and quality (ideally published in top-tier journals) are key requirements
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journals). Advanced programming skills (preferably in Matlab, R, Python), experience with probabilistic programming languages (e.g., Stan, Turing, Tensorflow), and high-level expertise with data analysis
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used in engineering (MATLAB, python); strong track record of working both independently and collaboratively; be organized, able to lead multiple projects simultaneously, and work effectively in a fast