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number of measures used in any one study, many questions about the relationship between EFs and dyslexia remain unresolved. Here we take an innovative approach involving a) development of new, open-source
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immunosuppression, akin to PDL1-PD1 interactions. In collaboration with Carolyn Bertozzi’s group, we are developing bifunctional proteins that include an antibody to cell surface cancer proteins (e.g. PSMA, CA9) and
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and SUD. Develop proficiency in research methodology and skills. Develop skills to identify key research questions and to formulate testable hypotheses. Design and execute studies that test those
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art of mentoring and supervising burgeoning scholars. We value innovation, and our program provides an enabling environment for fellows to conceptualize, develop, and lead independent research
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protein engineering techniques. In parallel, we are also looking for postdocs interested in developing high-throughput screens for single-domain antibodies, called nanobodies, that perturb intracellular
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warehouses (e.g., electronic medical records and biobanks), implementation and evaluation opportunities in live healthcare systems, and professional development resources like (grant) writing workshops and
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postdoctoral fellow with interest in organic chemistry and radiopharmaceutical development. Successful candidates will join the Molecular Imaging Program at Stanford within the Department of Radiology, Stanford
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of physicists, engineers, and oceanographers interested in advancing our understanding of ocean science, water sustainability, and climate resilience. Our lab develops optical techniques based on spectroscopy
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the Divisions of Immunology and Rheumatology and Pain Medicine. The fellow will have access to a collaborative environment and institutional resources supporting career development in academic medicine, including
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language processing (NLP) to augment clinical decision-making and expand access to high-quality healthcare. Our lab develops new methods to improve model trustworthiness and leverages heterogeneous clinical data