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, with opportunities for R or Python) Study design and analytic methods (cross-sectional, longitudinal, quasi-experimental designs) Manuscript preparation and scientific writing Data management and
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/reconstruction, and interpretation of electrophysiological data, as well as proficiency with relevant computational tools and programming environments (e.g., Brainstorm, MNE, Python, MATLAB) and integration of MEG
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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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journals; (c) experience or interests in programming languages such as R or python; (d) willingness to work with HIV+ samples following BSL2+ procedures; (e) willingness to work with mouse models; (f
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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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relevant discipline, e.g., environmental statistics, environmental economics, ecology, etc., and demonstrated strength in applied data science with environmental applications. Expertise in R and Python
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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