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through an enduring commitment to ethics and to advancing diversity, equity, and inclusion. Through dedicated lab facilities, workshops and lectures with distinguished scholars, opportunities for hands
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related to protein homology modeling, ligand docking and drug design to develop the next generation of safer anesthetics. Specifically, this individual will initially be an integral developer of a large
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learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with GIS software and Python, strong written
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microdevices using polymer microelectromechanical systems (MEMS) technology. The lab is a collaborative and dynamic working environment that leverages the advantages of micro- and nanotechnologies to advance
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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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such as biomedical informatics, computer science, electrical engineering, mental health services research/health policy, and/or biostatistics. Applications should be both independent thinkers and willing
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of Genetics and Computer Science (Courtesy) and the Basic Science and Engineering (BASE) Initiative of Stanford University, is in search of exceptional technology developers, developmental biologists
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research on multimodal data from patients receiving engineered T cell immunotherapies. We have recently completed groundbreaking clinical studies of CD19/CD22-targeted and GD2-targeted CAR T cell therapies
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of decarbonized water and energy systems; and 3) supporting the design and enforcement of water-energy-food policies. We seek a new team member who enjoys team-science and engineering and would thrive
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for teachers and school leaders to implement evidence-based decision making. This position will involve collaborative work with a team of researchers, engineers and partnership coordinators on building out