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, AI, and quantum information processing. Requirements: Minimum Qualifications: A terminal doctoral degree (PhD or equivalent) in physics, computer engineering, or related field from a college or
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. The candidate is expected to have an overall interest in AI concepts and methods, in particular human-centred AI, and expertise in formal models and machine learning, as demonstrated by publications and other
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is
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Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four
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sciences, business, humanities, education, and health and human services, a specialist degree in instructional technology, and PhD degrees in marine science: coastal and marine systems science and education
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of national and/or regional significance in the arts and sciences, business, humanities, education, and health and human services, a specialist degree in instructional technology, and PhD degrees in marine
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-aided drafting (Autodesk, AutoCAD and Rivit); or application of engineering software (Land Development Desktop, Civil 3-D). Instructor may assist development of course materials and inform overall
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offers an ABET- accredited Bachelor of Science, Master of Science degree in Mechanical Engineering, and along with the college, a Master of Science degree in Biomedical Engineering as well as a PhD degree
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background in the topics related to this PhD position. Good knowledge of combinatorial optimization (scheduling problems, mathematical modelling etc.), machine learning and/or strong programming skills