67 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS"-"St" positions at University of California
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systems Conduct data collection, cleaning, quality assurance, and validation activities Develop models to analyze costs and performance of wastewater technologies in Python or similar format. Participate in
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Job Summary Under the direction of the Director of the NSF Center for Pandemic Insights (NSF-CPI), the position is responsible for helping develop and deploy research technologies across the field
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research activities, develop refereed publications, contribute to proposals for extramural funding, and present research findings at professional conferences. There will be opportunities for the candidate
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clinical research operations within UCDCCC. The OCR services support the entire lifecycle of cancer-related clinical research protocols. These include support for development and implementation of clinical
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Davis Health Policies or Collective Bargaining Agreement • Access to free professional development courses and learning opportunities for personal and professional growth • WorkLife and Wellness programs
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Agreement • Continuing Education (CE) allowance and Education Reimbursement Program as stipulated in the UC Davis Health Policies or Collective Bargaining Agreement • Access to free professional development
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Postdoctoral Scholar to join the team. The focus of this role is to contribute to the rapidly evolving quantum computing technologies by developing the FPGA based control systems for a wide range of advanced
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position. Under the direct guidance and supervision of the supervisor, you will perform routine laboratory techniques related to research projects focused on developing methods to enrich microbial
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objective will be the development and application of a digital twin approach, aimed at bridging the gap between theoretical predictions, data interpretation, and experimental/spectroscopic observations. What
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research into control theory of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from