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of experiments and outcomes. Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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; maintain detailed records of experiments and outcomes. * Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding
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program in the country. With an unparalleled record of 138 NCAA team championships, we are the proud Home of Champions. Our success isn't just measured in trophies; it's reflected in the passion of our
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training. KNOWLEDGE, SKILLS, AND ABILITIES: General understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Ability to work under
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for Biomedical Informatics Research at Stanford University. This position emphasizes conducting real-world evidence studies using various causal inference methods (e.g., target trial emulation) to examine
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, curriculum design and implementation, program evaluation, and simulation as a teaching method. Opportunities to be involved in the administrative side of sim center operations are offered, active involvement
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Welcome to Stanford's Department of Athletics, Physical Education and Recreation ("DAPER"), the premier intercollegiate athletics program in the country. With an unparalleled record of 138 NCAA team
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. Applicants with experience in proteomics and MS method development who are interested in applying their skills towards this challenge alongside learning more about (1) functional genomics, (2) molecular and