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the building stock. (2) Use advanced community scale energy models to analyze high performance buildings and geothermal energy systems. (3) Assess technical and non-technical barriers to the adoption
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, and to interact regularly with Dr. Jonathan Campbell to design and execute experimental studies involving animal and cell-based models of metabolic disease. In addition, will also perform the following
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for the development of ultra-low voltage, high bandwidth silicon photonic modulators driven by TCO materials. This project will seek technology transfer and commercialization and the postdoc will have the opportunity
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of postgraduate experience. Skills The candidate must have strong experience in statistical mechanics, molecular simulations, polymer and colloidal physics, coarse-graining, computer programming, and high
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
resources, requiring High Performance Computing (HPC) on the JUWELS HPC system and the upcoming first European Exascale supercomputer, JUPITER (both at FZJ) to facilitate exceptionally high performance for AI
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: 271405679 Position: Postdoctoral Research Associate Theoretical High-Energy Physics Description: "Post-doctoral Associate in Theoretical High-Energy Physics' The Physics Department at Princeton University
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. Familiarity working with publicly available genomics data and working in high-performance computing (HPC) and/or UNIX environments is a plus. Highly motivated, able to creatively take initiative to see your
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closure modeling and/or high performance computing environments (MPI, CUDA) • Expertise in software development and computing tools (C/C++, python, git, parallel computing, etc.) • Experience with deep
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 271598471 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in