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/363551/phd-physics-informed-machine-le… Requirements Additional Information Website for additional job details https://www.academictransfer.com/363551/ Work Location(s) Number of offers available1Company
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18 Sep 2026 Job Information Organisation/Company University of Basel Research Field Biological sciences » Biology Biological sciences » Other Computer science » Other Engineering » Biomedical
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. Applications are submitted exclusively through the KU Leuven online job portal at https://www.kuleuven.be/personeel/jobsite/jobs/phd . Applications sent by email cannot be considered. Required documents
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engineering Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Sep 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time
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from massive datasets. Their ability to capture transferable knowledge offers a unique opportunity to rethink the modeling of physical interactions. The central idea of this PhD is that a model trained
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Qualified candidates are required to have a PhD or an equivalent doctoral degree and experience in chemistry, biology, toxicology, pharmaceutical science, computer science, or statistics. Candidates must have
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enthusiasm for interdisciplinary collaboration. Specifically, we expect: A PhD in Psychology, Neuroscience, Computer Science, or a related field, or expect to obtain one by the start date; Have strong
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to the IE faculty's Doctoral Programme (https://www.ntnu.edu/ie/research/phd/), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
(Group Leader at VIB and Professor (assistant professor, associate professor, professor or full professor) at KU Leuven, Dept of Computer Science and Dept. Electrical Engineering). We are particularly
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Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science