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-practice partnerships in community settings or developing curricula or interventions but lack rigorous quantitative evaluation methods training. Or if you have demonstrated disciplinary knowledge and a
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at scientific conferences. Required Qualifications: Education: Required: PhD or MD (or equivalent experience) in medical sciences, molecular biology, cell biology, or related field. Work Experience: Required
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radiolabeling of the resulting constructs. The fellow will conduct interdisciplinary research to develop unique translational therapeutics or methods to quantify the imaging data. Our federally-funded team is
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., diffusion transformers, multimodal representation learning) for modeling high-dimensional biological images. Develop computational methods to reconstruct and simulate 3D tissue architecture and dynamics
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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
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immediately in the Department of Surgery at Stanford University. As part of the Asian Liver Center, our lab uses multidisciplinary approaches to identify and develop more efficacious methods for the diagnosis
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scientists. Candidates with experience in prototyping, optical instrumentation, image processing, or translational device development are particularly encouraged to apply. Required Qualifications: PhD in
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. Developmental Cell. doi.org/10.1016/j.devcel.2021.07.009. Required Qualifications: A PhD in biology, genetics, development, neuroscience, or a related field Prior experience with iPS cell culture and
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: For consideration, candidates must have completed a PhD degree prior to their tentative appointment date. The fellowship is open to US citizens or international candidates. Candidates from groups that are under
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inform IEI and immune dysregulation diagnosis and therapeutic strategies. Required Qualifications: PhD in immunology, microbial pathogenesis, cellular biology, or related scientific field Proficiency in