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The Earth and Environmental Sciences Area at Lawrence Berkeley National Laboratory (LBNL) seeks a postdoctoral researcher to develop and curate unique and cutting-edge AI-ready data for the U.S
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- Department of Astronomy Job #JPF05593 Astronomy / College of Letters & Science - Mathematical & Physical Sciences / UC Berkeley Position overview Position title: Postdoctoral Scholar Salary range: The UC
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information about our research and the lab. This position is being hired as part of an NSF-funded project in collaboration with Jessica Goodheart at the American Museum of Natural History to study the process
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, and computational analysis of the resulting data. The position will involve a mixture of experimental and computational work. Opportunities for experimental training, computational training, and career
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Letter - Describing your research interests and alignment with this position. 1st representative publication or writing sample. Reference requirements 3 required (contact information only) Apply link
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results. The position is particularly well suited to an early-career scientist who wants to combine fundamental theoretical research with computational tool development and close collaboration within a DOE
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that learn multiple-state adiabatic potential-energy surfaces, energies, gradients or forces, derivative nonadiabatic couplings, and state-transition behavior from electronic-structure data. Design reliable
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materials: Cover Letter - Describe your interest in this position and the relevance of your background. Curriculum Vitae (CV) or Resume. Additional information: Application date:Priority consideration will be
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characterization Good data etiquette and management skills For consideration, please apply with the following application materials: Cover Letter - Describe your interest in this position and the relevance of your
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collaboration with researchers from Argonne National Lab and Oak Ridge National Lab on a collaborative Department of Energy funded project “AlphaFold for Microelectronics”. The role will be to develop data