489 computer-science-programming-languages Postdoctoral research jobs in United States
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Field
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desired. • An excellent track record, as evidenced by first-author publications and conference presentations. • Knowledge of programming languages, such as MATLAB or Python, and statistical software
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electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from other scientific
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Health Science Center at Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000
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programming languages Preferred to have experience with mouse models, molecular biology, neurobiology and/or ophthalmology, including advanced microscopy/imaging, multi-color flow cytometry, or genomics
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informatics and signal processing. Experience with large volumes of physiological and temporal medical data and time series analytics are essential. Strong programming skills in Python and modern machine
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professional training Medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial
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references. Responsibilities Work under the mentorship of the principal investigator and mentoring team to develop research projects consistent with the aims of the research program. This would require a
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for Human and Planetary Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to
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The Department of Population and Public Health Sciences at the Keck School of Medicine seeks a passionate and committed Postdoctoral Scholar Research Associate to join a dynamic, interdisciplinary team engaged in
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programming languages such as R or Python. Strong verbal and written communication skills. Demonstrated ability to work effectively in interdisciplinary teams and mentor students. Work Environment: This