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. Ph.D. (ideally completion by Summer 2025) in computer science, statistics, operations research, or related fields. Prior experience working with data, including expertise with computational methods Prior
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research. Proven experience with protocol development and research leadership. Excellent organizational skills and the ability to maintain meticulous records. Ability to plan and prioritize own work to meet
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use of cutting-edge informatics to prioritize causal variants for validation using functional genomics, including CRISPR. The overall goals of this work are to define novel disease targets and context
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experience using mouse models of disease. Priority will be given to applicants with prior training in pulmonary biology, or candidates with expertise in computational biology or single cell transcriptomics
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, Applied Mathematics, Statistics or related computational field. Superb quantitative background, strong coding skills (e.g., Python, R). Expertise in infectious disease modeling. Strong record of peer
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Posted on Tue, 06/10/2025 - 08:56 Important Info Stanford Departments and Centers: Graduate School of Education Pediatrics Psychology Postdoc Appointment Term: 3 year Appointment Start Date: Open position Group or Departmental Website: https://roar.stanford.edu/ (link is...
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, mouse models, standard molecular biology and biochemistry, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis
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Posted on Tue, 03/26/2024 - 18:05 Important Info Faculty Sponsor (Last, First Name): Han, Summer Stanford Departments and Centers: Med: Biomedical Informatics Research (BMIR) Epidemiology and
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or the interest in learning programming is highly desirable. A successful candidate will interact closely with computational biologists and be responsible for designing and executing experiments that will, in part
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new areas of research that cross classical disciplinary boundaries. Our department studies the surface and interiors of the Earth, Moon, and planets through laboratory experiments, computational and