10 cloud-computing-postdoc Postdoctoral positions at University of California, Merced
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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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                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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                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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                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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                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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                closely with Drs. Tomas Rube (UC Merced) and Marko Jovanovic (Columbia University). This research opportunity will primarily focus on developing computational methods for designing and interpreting pooled 
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                involved in related research projects. Qualifications Basic qualifications A Doctoral degree (or equivalent) in computer science, computer engineering, electrical engineering, or a related field. Additional