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Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and
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quantum dots. Investigations of principles of qubit operations, noise effects on qubit fidelities, and designs of improved and robust qubits. The topic will require knowledge of semiconductor physics, group
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the candidate to be comfortable with interactions with mice to maintain a successful operation of the research activities. Fundamental knowledge and an interest in molecular and cell biology is a necessity
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projects would be desirable. An understanding of Mendelian randomization and/or causal inference would be advantageous but not essential; full training will be given. In particular, no prior knowledge
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representation learning, and real-world data modeling to stratify risk and optimize MHT formulations. The candidate must thrive in a multidisciplinary, fast-paced research environment and work independently and
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representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances
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the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in
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of brain network representations, with a specific focus on the development and emergence of psychopathology. The successful candidate will contribute to the development and application of computational
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closely related field. PhD must be awarded no more than five years prior to the effective date of appointment with a minimum of one-year eligibility remaining. Preferred Qualifications - Knowledge