124 computer-science-programming-languages-"CNPEM" Postdoctoral positions at Stanford University
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use of cutting-edge informatics to prioritize causal variants for validation using functional genomics, including CRISPR. The overall goals of this work are to define novel disease targets and context
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on manuscripts, presentations, and research proposals Required Qualifications: PhD in psychology, neuroscience, biostatistics, computer science, or a related field. Strong interpersonal and technical skills
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principals to problem solve work. ● Ability to maintain detailed records of experiments and outcomes. ● Ability to quickly learn and master computer programs, databases, and scientific applications
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Computational Spatial Biology We are seeking a postdoctoral fellow in computational spatial biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford
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generation technologies Preparing quarterly and final reports for research grants Writing research proposals, peer-reviewed publications, and other program activities. Advising and mentoring students
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $73,800. The Mackall Laboratory is seeking a creative and motivated computational immunologist to join
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. Prevalent TCR clones will undergo reverse engineering to deduce the peptide bound, and this information used to generate MHC tetramers to study the induction of these clones during the anti-tumor response
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Posted on Mon, 11/11/2024 - 12:40 Important Info Faculty Sponsor (Last, First Name): Qiu, Xiaojie Stanford Departments and Centers: Genetics Computer Science Postdoc Appointment Term: Initial 2
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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance
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background in Computer Science, Informatics/Biomedical Data Science, Engineering, Statistics, Computational Biology, or a related field Prior experience in computer vision, with application of deep learning