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software. Collaborate with computational and domain scientists to integrate state-of-the-art AI with simulation and data analysis, including modern agentic approaches. Publish and present results in peer
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-reviewed venues and conferences. Engage in community knowledge-sharing (e.g. tutorials for the NERSC user base). What is Required: PhD awarded within the last five years in Physics, Computational Chemistry
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the group are encouraged to develop new data analysis ideas and methods. The successful candidate will also be heavily involved in our ongoing project to develop and build new, high-speed data acquisition
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targeting NERSC HPC resources, edge resources, and the DOE ESnet network. Develop and apply advanced workflow capabilities to improve performance, portability, and productivity of scientific software. Publish
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of application) Applicants must have completed all requirements for a PhD Degree in geography, urban planning, sociology, political science, economics, data science, public policy, computer/information
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Chemistry, Physics, Materials Science, or a related field. Hands-on experience with first-principles or atomistic methods relevant to interfacial systems, including DFT, ab initio MD, enhanced sampling
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to define novel questions and methods for leveraging available economic, biological, and environmental data, and communicating the research through publications. The Postdoctoral Researcher will have
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collaborate with research partners to develop and utilize novel characterization and diagnostic methods to identify critical performance and durability barriers for these electrochemical devices and develop
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UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
analysis using statistical software, database management, use of data sets; Assist in preparation of human subjects/IRB applications when needed; Production of high-quality data visualizations, charts
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. Familiarity with protein analytical methods. Good interpersonal and communication skills to obtain help when needed, such as learning new techniques from collaborators. Skill with molecular cloning. Experience