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which may span multiple areas, using advanced technical and professional knowledge. Contribute to development of staff training programs. Frequently sit, perform desk-based computer tasks. Occasionally
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to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day
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and early-onset cases without a known genetic cause. We are also interested in genetic interactions (epistasis), tandem repeats, machine learning, and other areas of AD research that have not yet been
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may also be assigned ~ All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture where diversity, equity, inclusion, and justice are central to
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, development, partnerships, and fundraising/funding. * - Other duties may also be assigned ~ All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture
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analytics. Support research needs by overseeing teams engaged in projects and operations to design, implement, and support innovative technical solutions. Areas could include machine learning algorithms
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University School of Medicine. We serve all populations of students and trainees who participate in the School's programs: Stanford MD, MS, MSPA, and PhD students; visiting MD students seeking clinical
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a particular focus in immunology, neuroscience, and/or computational science/machine learning. That said, we give high priority to the overall originality and promise of the candidate’s work, and
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. The ideal candidate is interested in research and plans to pursue a PhD (or equivalent) in Clinical Psychology or a related field (with an emphasis on research, rather than clinical practice). For highly
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field of science related to research project. • General computer skills, experience with databases and scientific applications, and ability to quickly learn and master computer programs. • Strong