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. Analyze medical imaging datasets, including image segmentation and interpretation for research applications. Apply advanced computational techniques, including machine learning and deep learning
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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power
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to the patent portfolio. Qualifications Required PhD (awarded or imminent) in Physics, Electrical Engineering, Materials Science, or a related field. Demonstrated competence in both a computational technique
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institutions. Skills we are seeking are: Citizenship: U.S. Citizen/Permanent Resident is greatly preferred. Minimum Qualifications: Ph.D. in Modeling & Simulation, Computer Science, Engineering, or closely
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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interpersonal skills and the ability to work with biologists, computational biologists, data scientists, and software engineers. Must be able to work independently as well as part of a team in a fast-paced
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, Computer Science, Machine Learning, Artificial Intelligence, Engineering, Mathematics, Operations Research, Economics, Finance, or a closely related subject. Preference will be given to candidates with strong
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| Electrical and Computer Engineering Position Description: Conducts advanced research and development in the Department of Electrical & Computer Engineering, with a primary focus on cathodoluminescence
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. Plan and execute experimental activities supporting the testing, evaluation, and validation of research concepts and technologies. Collaborate with ARI’s Applied Research, Engineering, and Program