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measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
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, or similar languages Background in machine learning or deep learning methods Knowledge of genomics, transcriptomics, evolutionary biology, and plant biology is an advantage Familiarity with large biological
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years prior to the application deadline. Experience with machine learning for scientific applications. Experience with deep learning frameworks such as PyTorch or TensorFlow. Experience with atomistic
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applied public health program with global reach. The ideal candidate brings deep methodological expertise, the ability to operate independently and manage a large program, and the ambition to help build a
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, deep learning, natural language processing, and generative AI models. • Collect, clean, annotate, structure, and analyze datasets required for AI model development and evaluation, including text data
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associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA
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research and learning. About SBU: Stony Brook University (https://www.stonybrook.edu/ ) is a flagship of the State University of New York (SUNY) system. It ranks among the top 25 public universities in
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/empoloyees/benefits/ for more information. Special
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fund, on-campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/ . Application Procedure Applicants should