715 parallel-computing-numerical-methods-"Simons-Foundation" positions at Stanford University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. Department/Program Description: The Division of Literatures, Cultures, and Languages (DLCL) in
-
. Telecommuting is not available for this role. JOB PURPOSE: Coordinate, schedule, and manage the program to provide planned assessments of building subsystems within the R&DE portfolio of buildings. Assist with
-
diseases. We are seeking a Research Project Lead to drive our CRISPRkit educational outreach program, a newly funded initiative bringing hands-on genome science to K–12 classrooms. If you're interested in
-
, especially Excel. User knowledge and demonstrated experience of financial systems; internet and computer literacy. Understanding and ability to apply basic accounting skills and concepts. Demonstrated
-
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
-
test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and other measurements for completeness and accuracy. * Extract data from source
-
development colleagues in the Office of Development and other schools and units to coordinate prospect strategies and align program goals with the overall giving goals of the university’s development
-
to the performance management program and technology as needed. Talent Acquisition: Support the candidate experience including job postings, screening candidates, interview scheduling, collecting rater feedback
-
affected by environmental damage and climate change. For more information on the school please click here . The Emmett Interdisciplinary Program in Environment and Resources (E-IPER) is an interdisciplinary
-
., diffusion transformers, multimodal representation learning) for modeling high-dimensional biological images. Develop computational methods to reconstruct and simulate 3D tissue architecture and dynamics