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, functional genomics, cell biology, and cardiovascular physiology. Experience or interest in programming languages such as R or Python. Independence to lead a project as well as willingness to work in a team
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, engineering, computational science, a physical science (materials science, chemistry, physics etc.), or related field. Hands-on experience with AI frameworks and employing large language models. Strong Python
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the following areas: Performing and/or analyzing functional genomics experiments Competence with Unix environment, R, Python, high performing cluster Familiarity with machine learning Have taken coursework in
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, R, Python Must be able to work in a team environment and interact with diverse stakeholders Strong communication skills (both written and verbal), including strong listening skills Strong
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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in research software development using R or Python and a track record of contributing to publications and presentations in leading statistics or machine learning journals and conferences are essential
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and excellent time management skills Proficiency with Python Online Application Required Documents Curriculum Vita Name and Contact Information of References Letters of Interest Number of References: 3
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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-, T2-weighted MRI, diffusion-weighted imaging) Programming experience (e.g., MATLAB or Python) Demonstrated trajectory toward applying for an NIH K-award within two years of appointment Special
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islet imaging assays, in vivo assays of metabolism (e.g. glucose tolerance tests), and developing novel machine learning models (in Python and R). Experience with mammalian cell and tissue culture