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. Please apply at https://www.hoover.org/hoover-fellows-program . Contact: Cecilia Chen Email: Postal Mail: Hoover Institution 434 Galvez Mall Stanford, CA 94305-6003 Web Page: http://www.hoover.org/
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computational resources for data analysis, and also provide the opportunity to collaborate with Stanford Data Science, the Center for Decoding the Universe, the SLAC theory group, and a number of other cross
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of the report for the AI Task Force. Collect and analyze data, create reports, review and explain trends to determine program effectiveness; formulate and evaluate alternative solutions and/or recommendations
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Description The Stanford Department of Applied Physics 2025-26 Karel Urbanek and the Marvin Chodorow Postdoctoral Fellowships is an annual program aimed at recruiting young scientists of exceptional ability
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requirements: Constantly perform desk-based computer tasks Frequently stand/walk, sit, use a telephone, grasp lightly/fine manipulation, speaking * - Consistent with its obligations under the law, the university
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preferred. PHYSICAL REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a
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theoretical knowledge of science principals to problem solve work. * Ability to maintain detailed records of experiments and outcomes. * General computer skills and ability to quickly learn and master computer
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work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability
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biology techniques, such as gel electrophoresis, PCR, recombinant DNA cloning and recombinant protein expression and purification Basic understanding of computational analysis including basic coding skills
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backgrounds trained in chemistry, chemical biology, microbiology, and/or biophysics fields. We have launched a collaborative antibacterial drug design program integrating chemical biology and mechanistic