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, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and/or Python; best practices in reproducible research Excellent
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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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position is available in Dr. Gustavo Silva’s laboratory at Duke University (https://sites.duke.edu/silvalab ). The prospective candidate will develop research focused on developing and using functional
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, and that 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 https://www.bme.duke.edu
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● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image processing ● Proven experience in scientific programming in Python and/or C++ ● Deep familiarity
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-time, grant-funded position, eligible for all Duke benefits (https://hr.duke.edu/benefits ) with an initial appointment of one year, with the possibility of renewal up to 3 years, dependent on funding
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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://www.bme.duke.edu https
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are heard. All members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http://www.bme.duke.edu https://www.bme.duke.edu
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. Application Materials Required: Further Info: http://www.bme.duke.edu https://www.bme.duke.edu
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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