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data science and computational dynamics. You can read more about the project on its homepage http://www.lie-stoermer.no . The project is funded by the Tromsø Research Foundation (TFS), UiT and UiB. In
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) Competitive salary and research environment Based at KAUST with interdisciplinary collaboration Qualifications PhD (Postdoc) or MSc/PhD (Research Scientist) in Computer Science, Electrical Engineering
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interest in statistics education and its roles in undergraduate and graduate science. It is required that applicants: hold a PhD in statistics education or data science education by January 1, 2027
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disease. The Postdoctoral Associate must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related
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Post-Quantum Zero-Knowledge Proofs and Trustworthy AI School of Computer Science PhD Research Project Directly Funded UK Students Dr Prosanta Gope , Dr Behzad Abdolmaleki Application Deadline: 26
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disease. They must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience
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collection, data management, and imaging-based and clinical research in aortic disease. The Postdoctoral Associate must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in
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Are you interested in working with sensitive health data and making a real impact on how it can be used safely and responsibly? At the Center for Clinical Data Science (CLINDA), Department of
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UC Berkeley, Bakar Institute of Digital Materials for the Planet | Berkeley, California | United States | about 15 hours ago
Job Details At BIDMaP (Bakar Institute of Digital Materials for the Planet) UC Berkeley, researchers are combining AI, machine learning, and data science with the physical sciences to confront climate
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: Full Time Apply Vacant position One or more PhD Positions in health system innovation Aalborg Deadline : 01.11.2026 Department: Department of Health Science and Technology Ref number: 2026/1120