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to nanofabrication, as well as state-of-the-art high-performance computing equipment. Main responsibilities The successful candidate will study and design devices for integrated optics using inverse design and machine
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evolution, genomics, plant biology, microbiology, or a related field. Computer Skills High performance computing including experience with R, python, and/or general experience with command line coding and
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(energy auditing, GHG accounting, resource recovery)*Strong publication record and excellent written/verbal communication skills*Experience in coding for high performance computing (e.g., university cluster
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of stochastic programming problems used in power system operations under uncertainty in conjunction with classical high-performance computing. Interesting directions for this project include, but are not limited
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Jupiter’s magnetosphere–ionosphere system are strongly preferred experience working with high-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with
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potential further extension, subject to confirmed funding. You will lead experiments in the OPG arc-jet/plasma wind tunnel, developing and commissioning facility upgrades (higher-power operation, new nozzles
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profile in the field of high performance computing and parallel system. You are involved in research projects and scientific studies in the field of parallel and high-performance computing systems, tools
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Directorate (PSD) at Oak Ridge National Laboratory (ORNL). This position offers an exciting opportunity to contribute to research in nuclear theory using high-performance computing and advanced many-body
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research. Our methodologies are equally varied, ranging from theory and computer simulations to experimental investigations. The theoretical subatomic physics group performs research on nuclear, elementary
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials