9 parallel-computing-numerical-methods research jobs at University of California Berkeley
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: 6582425 Postdoctoral Employee - Artificial Intelligence - Electrical Engineering and Computer Sciences Department Position overview Salary range: The UC postdoc salary scales set the minimum pay determined
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EECS department, is affiliated with the Berkeley AI Research Lab, Computational Precision Health, and the Center for Human-Compatible AI. We develop AI methods for applications in the health and social
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responsibilities for this position include the development of computational models to simulate scintillator properties using time-dependent density functional theory and Monte Carlo methods, analysis and
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the underlying molecular structure. Primary responsibilities for this position include the development of computational models to simulate scintillator properties using time-dependent density functional theory and
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. Responsibilities: Define specific questions and methods around the effects of freshwater plume exposure on phytoplankton communities. Develop and interpret phytoplankton metrics using multi- and hyperspectral
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employ state-of-the art sequencing methods to profile somatic mutations across different primate species. There is a particular focus on structural variation and employing long-read sequencing methods
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(or equivalent international degree) or enrolled in a PhD degree program (or equivalent international degree program) Additional qualifications (required at time of start) PhD (or equivalent international degree
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of state voting legislation for the Voting Laws Roundup. This work includes developing computational tools (e.g., using large language models, machine learning for text analysis and classification, etc
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://vcresearch.berkeley.edu/faculty/jay-keasling Qualifications Basic qualifications (required at time of application) PhD (or equivalent international degree) or enrolled in a PhD degree program (or equivalent international