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). The training program is designed to train the next generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial
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capable of driving the project forward. The ideal candidate: The ideal candidate will possess (or soon complete) a PhD in Theoretical Physics, Bio-Mathematics or Computational Biology. They will possess a
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, bringing new techniques to the lab (e.g. molecular engineering, informatics), growing the research into new directions, managing personnel, assisting with grant and manuscript submissions, and managing
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
diversity and brings together expertise in software engineering, big data, clinical informatics, and medicine. Key Responsibilities Collaborate with researchers to design, develop, and refine large language
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incubation and start-up ecosystems. Description of ACER-CoE: The Centre was established to address enduring process challenges in Chemistry and Engineering disciplines and create an environment
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Fellowship Position on Condensed Matter Theory Location: Shanghai, Shanghai 200240, China [map ] Subject Areas: Physics / Condensed Matter Physics , Condensed Matter Theory , Quantum Computation , Theoretical
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physics, applied physics, computer science or in a closely related field. MSc students near the completion of their degree are also encouraged to apply. The candidate should have: Willingness to pursue a
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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incident angles for benchmarking and validation of theoretical calculations and computational physics and chemistry modeling of important surface processes occurring at plasma-material interfaces in fusion