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at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models of potentials that appear in Hamiltonians for time-dependent quantum systems. The postdoc
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publications. Preferred qualifications • Expertise in remote sensing applications to aquatic biogeochemistry, ocean color, or optical water quality. • Proficiency with cloud computing and high-performance
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of the postdocs will include i) conduct experiments and simulations to characterize non-diffusive heat transfer in micro/nanomaterials and their interfaces; ii) writing papers describing the results
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and enthusiastic to work on thermal desalination and phase change heat transfer. The duties of the postdocs will include: 1) studying heat and mass transport in thermal desalination processes; 2
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Henrik R. Larsson’s Theoretical Chemistry/Computational Physics group at University of California, Merced. The postdoctoral scholar will work on the DOE-funded Early Career project "Rigorous quantum
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Scholar must have a PhD degree in Electrical, Mechanical or Computer Engineering. Excellent written and verbal communication skills are required. Preferred qualifications Applicants are preferred to have a
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on developing computational methods for designing and interpreting pooled high-throughput experiments. The work will be done in close collaboration with a larger team that integrates computational and