11 postdoc-computational-fluid-dynamics-"Prof" Postdoctoral positions at University of California, Merced in United States
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through Space and Time: Enabling the Quantum Dynamics of Chirality-Induced Spin Selection Through Novel and Scalable Computational Methods. The project involves close collaborations with teams at University
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dynamics, methods to describe the electronic continuum, multireference electronic structure, tensor network states. Available computational resources include two shared clusters at Merced, computing nodes
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recruiting a postdoctoral scholar to join the lab. The postdoc will primarily work on a project related to deep soil processes. Our research program explores diverse areas, such as soil organic matter dynamics
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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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in Dr. Xiaoyi Lu’s PADSYS Lab to investigate scalable system software for emerging applications such as precision agriculture, digital twins, deep learning, and so on. The Postdoc will also be focused
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undergraduate students actively involved in the laboratory . Qualifications Basic qualifications The applicant applying for the Postdoctoral Scholar must have a PhD degree in Electrical, Mechanical or Computer
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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
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for: Designing optimization-based decision-making frameworks for zero-emission vehicles and charging infrastructure. Analyzing theoretical guarantees of these frameworks using tools from optimization, dynamical
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excellent opportunity to work in the development of external relationships and to engage in industry-university partnerships at the cutting edge of engineering, computer and data science, technology, natural