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the following areas are required: 1) wetland science; 2) hurricane science; 3) remote sensing; 4) deep learning and AI, 5) high-performance computing. Experience using AI models is required; experience
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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Application Deadline 13 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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or equivalent, and ideally some experience with high-performance computing ⁃ Familiarity with marine seismology or hydro-acoustics ⁃ Strong scientific writing and oral communication skills, and proficiency in
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as well as to understand and mitigate the harmful effects of repeated exposures to blast. This research opportunity is within our blast overpressure medical research program and systems biology. Under
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possible co-appointment in the Department of Computer Science. The project combines theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a
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of supercapacitors from tire-derived carbon and having high performance. It is expected that the Postdoctoral Associate will work independently, establish all experimental processes and instrumentation for the work
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The destabilization of several high-altitude buildings
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of "Sincerity, Benevolence, Prudence, and Diligence." The Zhengzhou University is committed to synergy of education, science, and talent, striving to build a high-level research-oriented university. Introduction