126 formal-verification-computer-science Postdoctoral research jobs at Stanford University
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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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technology and b) large-scale data collection in a diverse sample spanning over 250 schools across 30 states to answer three significant questions regarding the mechanisms of word reading difficulties such as
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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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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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required for leadership positions in undergraduate and graduate medical education. This fellowship program has trained surgical residents in education for over fifteen years and has established a track
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Qualifications: Doctoral degree (PhD or equivalent) in Genomics, Bioengineering, Biology, Biochemistry, or a related field. Experience in developing single-cell sequencing technologies is highly desirable. Prior
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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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Posted on Mon, 02/24/2025 - 12:56 Important Info Deprecated / Faculty Sponsor (Last, First Name): Plevritis, Sylvia Stanford Departments and Centers: Biomedical Data Sciences Postdoc Appointment
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explaining your interest in becoming a postdoc with the respective research lab/center/faculty through the HAI Postdoctoral Fellowship Program (500 words max). Curriculum Vitae (CV) Short answer responses (300
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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