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Field
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-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements. § Implementing algorithms
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Requirements: This opportunity is available to U.S. citizens. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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well as experimental and computational approaches. The ideal candidate will have a strong interest in gene regulatory mechanisms, with a track record of creative research in molecular biology, cell biology, genomics
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% position as PhD Research Fellow in “Pioneering AI and Sustainable Materials for Next-Generation Offshore Wind Turbines” from November 1st 2025, or by agreement. The position is at the Department of Process
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Fellowship Program offers, on a competitive basis, short-term fellowships to facilitate research projects that substantively engage with Yale Library Special Collections materials. This application is open to
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environments (namely the Surrey Memorial Hospital NICU-partnering with Ronald MacDonald House). There would be opportunities to work closely with experts and students in the fields of human-computer interaction
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: A PhD degree in business, computer science, informatics, social sciences (preferably sociology, psychology, or economics), public health or a related field is required and must be conferred by
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(microscopic or mechanical). The successful candidate will carry out research and manufacturing process evaluation to produce structural metallic materials. The applicant will work on a research project
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and combinatorial perspectives. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able