14 computer-science-image-processing Fellowship positions at University of California
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. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan, implement and evaluate patient care, taking into consideration protective interventions
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Lawrence Berkeley National Laboratory’s (LBNL ) Chemical Sciences Division is seeking a Postdoctoral Fellow in Digital Chemistry and Spectroscopy. This exciting opportunity focuses
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architectures for science Developing and advancing extreme-scale scientific data management, analysis, and visualization Developing and advancing next-generation machine learning, AI, and data science approaches
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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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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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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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global supply chains grow more complex and resource resilience becomes increasingly vital. This is a unique opportunity to work at the intersection of materials science, genomics, and microbial engineering
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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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electrical engineering, computer science, physics, mechanical engineering, applied math, theoretical neuroscience, or statistics. In depth experience with control theory and machine learning for analysis