13 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" Fellowship positions at University of California
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: assessing, documenting, planning, implementing, teaching, developing, and evaluating a comprehensive nursing plan of care; delivering direct patient care; ensuring patient satisfaction; training and
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Readiness team as part of NERSC’s Science Acceleration Program (NESAP ). You will join a multidisciplinary team building AI-driven scientific workflows for the upcoming Doudna supercomputer. Doudna will
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Generation Nonproliferation Leadership Development Program (NextGen). What You Will Do: Define project scope, objectives, and research strategies for an independent research project advancing nuclear
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UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
accordance with local policies/procedures, and/or enroll in the California Employer Pull Notice Program A MA or terminal degree in Social Science, Law or Humanities and/or equivalent experience/training
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/ ), and supervised by PI Daniel Carney. What You Will Do: Develop advanced techniques to surpass the Standard Quantum Limit (SQL) and enable quantum-coherent readout of multiple devices. Conduct original
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is in accordance with local policies/procedures, and/or enroll in the California Employer Pull Notice Program Undergraduate degree (BA/BS) or equivalent experience. Experience working in field research
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Job Summary #CA-PS Under close supervision of the Director, Athletics Communications, help publicize UC Davis’s 25 sport intercollegiate athletics program, primarily through the official UC Davis
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join the Workflow Readiness team as part of NERSC’s Exascale Science Acceleration Program (NESAP ). You’ll work with NERSC staff, domain scientists, and engineers from industry partners to prepare key
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astrophysics and cosmology researchers in the Berkeley Astronomy and Physics Departments, and at the Lawrence Berkeley National Laboratory (LBNL). The experimental and observational programs at Berkeley include
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techniques in materials or chemical modeling—e.g., graph neural networks, ML interatomic potentials, and uncertainty quantification. Strong programming skills in Python (or equivalent), with demonstrated