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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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, psychiatry, developmental psychopathology, neuroimaging research (MRI, fNIRS), engineering, computer science, or related fields. Required Qualifications: Doctoral degree (PhD, MD, or equivalent) conferred by
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of medical conditions. This position will involve close collaboration with data scientists, clinicians, and computational biologists in a multidisciplinary environment The responsibilities: Develop and
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the two labs. We seek applications from highly motivated research fellows who recently obtained or will soon obtain their PhD in Physics, Biophysics, Computational Biology or Quantitative Cell Biology
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. Ph.D. (ideally completion by Summer 2025) in computer science, statistics, operations research, or related fields. Prior experience working with data, including expertise with computational methods Prior
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Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics, biostatistics, data science, or a related field are encouraged to apply. A candidate who has
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, Applied Mathematics, Statistics or related computational field. Superb quantitative background, strong coding skills (e.g., Python, R). Expertise in infectious disease modeling. Strong record of peer
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through the Office of Postdoctoral Affairs. The FY25 minimum is $73,800. We are inviting applications for a full-time postdoctoral scholar with a strong computational background and interest in leading
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, candidates should exhibit a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This position promises a vibrant and cooperative atmosphere within
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technologies Preparing quarterly and final reports for research grants Writing research proposals, peer-reviewed publications, and other program activities. Advising and mentoring students. Presenting