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cancer models Experience with single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply: Please send a
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; prior coding experience (e.g., Python, MATLAB, or similar) is a desirable plus but not strictly required. Experience with mouse surgery is highly desirable. Track record of productivity, independence, and
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, engineering, applied mathematics, physics) Prior experience with Python and the use of various related packages is necessary Prior experience with PyTorch is helpful, but not essential Interest in understanding
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reproducible code (clear structure, documentation, and version control habits) and communicate results clearly to experimental collaborators Facility with R, Python, or other commonly used programming languages
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disease (Braun, Cancer Cell, 2021) in kidney cancer. The ideal candidate will have a strong background in computer/data science (including statistics), knowledge of R and python, and experience with high
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, biology, mathematics, engineering, or other science-related field. Background in programming languages in computational biology, such as R or Python, is expected. There will also be opportunities
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for this position will provide psychiatric outpatient services to the APT Foundation. Please apply through Interfolio using this link http://apply.interfolio.com/167834 . Create a Job Match for Similar Jobs About
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programming skills in Python, R, or similar languages. Experience working with large biological datasets. Familiarity with Linux-based computing environments and high-performance computing. Excellent analytical
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, www.palmlabyale.com <http://www.palmlabyale.com > Overview of the position: The Palm Lab in the Immunobiology Department at Yale School of Medicine (www.palmlabyale.com <http://www.palmlabyale.com >) is seeking a
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Informatics, or a related quantitative field. Strong programming skills in Python and/or C++. Peer-reviewed publication record appropriate for career stage. Ability to lead independent research projects while