295 parallel-and-distributed-computing-"UNIS"-"Meta" positions at Stanford University
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, and maintaining accurate tracking and documentation of information for King Center program funding. You will also update our website with new opportunities, maintain program tracking spreadsheets
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the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. Department/Program Description : The Department of Psychology is looking for a full-time
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maintaining computer programs. The School of Medicine's Department of Psychiatry and The School of Engineering Computer Sciences group at Stanford have collaborated over the last seven years to develop modules
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for complex functions or programs with significant business, regulatory and/or technical challenges requiring subject matter expertise. May provide development of program or function from initial concept
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Children's Health, and serves as Stanford Medicine's flagship innovation program to support inventors across the Stanford community in developing and accelerating their most promising innovations
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students in H&S engage in inspirational teaching, learning, and research every day. Department/Program Description: Stanford's Physics Department is a teaching and research department in the School
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protein engineering techniques. In parallel, we are also looking for postdocs interested in developing high-throughput screens for single-domain antibodies, called nanobodies, that perturb intracellular
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independent research program and should possess good communication skills and a commitment to teaching and mentoring. The successful candidate must have a Ph.D in statistics, data science, computer
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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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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive