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one year with a possibility of renewal based on performance. Basic Qualifications Candidates must have a PhD in physics, biology, or a related field by the time of appointment. The ideal candidate will
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develop numerical models and Machine Learning and AI methodologies, including Physics Informed Neural Networks (PINNs) and Symbolic Regression tools, to predict chemical reactions, impurity evolution along
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to inverse problems or physical sciences. Prior academic or research affiliation with the University of Texas at Austin, including close collaboration with the Oden Institute for Computational Engineering and
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The postholder will be an active member of the research team supporting the process evaluation work package within an NIHR HTA-funded multicentre randomised controlled trial. The postholder will
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catchment to open water, from physical dynamics to public knowledge and governance. It brings together researchers from mathematics, civil engineering, biology, industrial ecology, and science and technology
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educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position
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, computer science, and the natural sciences to develop the conceptual and mathematical tools needed for the trustworthy deployment of AI agents in science. The project is based at the Egenis Centre for the Study of
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Family Group: Staff Department/Office: D. R. Semmes School of Science Time Type: Full time Compensation: $17.00-$21.17 Please note, starting salaries are based on factors including internal equity
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: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science
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. Computer Science, Statistics, Data Science, Health Informatics, or related field) Proficiency in relational database design, construction and querying (SQL) Proficiency in Python and/or R for data