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Field
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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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communication and program management skills are required. This position resides in the Carbon Fiber Technology Facility (CFTF) and the work is performed at the Manufacturing Demonstration Facility (MDF) in
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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and a discretionary research fund of up to $4,000. Selected candidates are expected to devote time to original research activities described in the application to the Voss postdoctoral program. In
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, interdisciplinary collaboration, grant development, research translation, and engagement with a growing research program in resilient, intelligent, and data-informed infrastructure systems. Your key responsibilities
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, interdisciplinary collaboration, grant development, research translation, and engagement with a growing research program in resilient, intelligent, and data-informed infrastructure systems. Your key responsibilities
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the ambition to grow. For more information about LIACS, visit our website. What you bring We are looking for candidates with: A PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision
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The successful candidate will have completed a PhD in chemistry education or related field (ABD will be considered), and will be performing research in line with the PI's research program. The postdoctoral scholar
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research faculty, 5 teaching faculty, and around 40 PhD students. Our undergraduate program offers a physics major and an astronomy minor. Astrophysics research areas include black hole accretion and
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and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form