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Posted on Tue, 05/26/2026 - 15:16 Important Info Faculty Sponsor First name: Michael Faculty Sponsor Last Name: Schumacher, PhD Stanford Departments and Centers: Pediatrics, Gastroenterology
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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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, as part of the Stanford O’Brien Urology Research Center. Required Qualifications: Recent PhD (or MD/PhD) degree in a relevant field Research experience in molecular/cell biology and cell culture
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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various computer programs. • A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Physiology, Biochemistry or related field. Required Application Materials: • Summary of previous
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in human genetics and population data to experimentally testable mechanisms using powerful genetic models. Projects will combine bioinformatics, genomics, genetics, and systems biology, with
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, immunosuppression and therapeutic response. Required Qualifications: PhD in Cancer Biology, Molecular and Cellular Biology, Genetics, Immunology or Radiobiology Productive record of research and publication Excellent
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, including opportunities to develop new scientific directions, design and execute experiments, analyze and interpret data, prepare manuscripts, present research, and contribute to collaborations within
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diagnostics, and carbon nanomaterial synthesis. This is a highly collaborative role involving close interaction with industrial sponsors, academic collaborators, technical staff, and PhD students
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candidate with experience in data analytics, computation, statistical analyses, and decision-analytic modeling who is interested in health policy and economic evaluation. Prior work in any of the following