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research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses on large datasets, have
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scientific programming (Python, MATLAB, C/Fortran, or equivalent) and high-performance computing workflows. Proven ability to work across disciplines and manage complex modeling tasks. Excellent written and
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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
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welcome to apply. • Candidates should have a developing track record of research output • Programming proficiency in python is essential • Commitment to open research, as appropriate to the discipline
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processing ● Proven experience in scientific programming in Python and/or C++ ● Deep familiarity with collaborative software engineering practices (Git, testing, code reviews, CI/CD) ● Demonstrated
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. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with shell scripting, cluster or cloud computing infrastructure
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, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages
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of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http
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all voices are heard. All members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http://www.bme.duke.edu http://www.bme.duke.edu
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members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http://www.bme.duke.edu http://www.bme.duke.edu