8 construction-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of California
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. You will build simulation agents that predict materials properties (such as Li-ion conductivity in solid electrolytes) autonomously and at scale, validate them against thousands of real A-Lab
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nuclear structure and electron scattering calculations into a broadly applicable phenomenological tool for experiments at Jefferson Lab and the future Electron-Ion Collider (EIC). This position is
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. Exercise independent judgment and contribute in an original manner at the professional level. Publish papers/reports in refereed journals and make oral presentations of your own work. Mentor students in
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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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Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared
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infrastructure to capture and curate both experimental and simulation data and collaboratively build machine learning models to predict behavior of novel materials for memristor applications. This is an
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, Interoperable) principles Build and extend tools that validate datasets, and check whether they meet AI-readiness requirements. Help automate dataset preparation using reporting format templates and structured
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heterogeneous reactions and component material properties including structure/function relationships across multiple time and length scales. We’re here for the same mission, to bring science solutions