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Field
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electron microscopy or x-ray tomography Analyze experimental data to investigate mechanisms of irradiation- and mechanically- induced damage Present and report research results and publish scientific results
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generates clean energy that can power future HPC systems. You will design, implement and test energy-efficient Computational Fluid Dynamics (CFD) algorithms by leveraging energy-efficient hardware within
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and attention to detail. Ability to manage priorities and work under pressure. Excellent communication skills and team collaboration. Proactive attitude and innovative thinking. Qualifications PhD in
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learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high
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computational methods to optimize wind farm performance, which in turn generates clean energy that can power future HPC systems. What you would be doing: You will design, implement and test energy-efficient
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us, research and education are conducted with an eye towards the future. Our proximity to the business world, both locally and globally, gives us a wide reach and the ability to create change
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candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics
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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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effectively with computer software including Microsoft Office. Skilled with the use of aseptic mammalian cell culture techniques. Skilled with common laboratory techniques and equipment consistent with PhD
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). The ideal candidate would be a recent PhD graduate with a demonstrated capability to propose new hypotheses based on scientific literature, design experiments, and interpret results in a mechanistic framework