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coatings, to protect the LFP particles while optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring
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executing manufacturing trials, and operating high-temperature furnaces and metal forming equipment. The researcher will be responsible for optimizing processing parameters to enhance composite performance
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Your Job: Design and development of a modular high throughput sample environment for chemical hydrogen storage investigations under realistic conditions Design, optimization, and testing of sample
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work on optimization and optimal control related to partial differential equations with emphasis on new developments related to machine learning and data science. Your profile: • Doctorate related
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electrified (A-PRIME) water desalination technologies to support a circular water economy; 2) optimizing the coordinated operation of decarbonized water and energy systems; and 3) supporting the design and
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main campus. Depending on the position, the work will involve a combination of experimental research, process simulation, reactor operation, and system-level optimization. We are currently advertising
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. The postdoctoral project will be focused on the design of optimized generation schemes for tailor-made electron beam and radiation sources in laser-produced plasmas. As a postdoctoral scientist, you are employed by
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focused on advanced tissue imaging for diagnostic and intraoperative applications. The successful candidate will work on federally funded projects aimed at developing and applying novel microscopy platforms
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varying carbon content and execution of solid-phase hot extrusion trials. Responsibilities include optimizing process parameters to improve composite quality and performance. The role also involves
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computer science, operations research, applied math, statistics, or a related field Strong background in machine learning, optimization, and/or algorithm design Excellent written and verbal communication skills