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candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative
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Traces (ALT) lab at the Department of Psychological and Quantitative Foundations has an open Postdoctoral Scholar position for an individual with expertise in computational and quantitative methods
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Computer science » Computer systems Computer science » Programming Technology » Communication technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23
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. Funding Notes Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Applicants can also apply for a scholarship from the University
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opportunities at multiple locations Hospital partner, Nebraska Medicine, recognized by U.S. News & World Report as one of America's Best Hospitals Large neurology residency program with opportunities to work with
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/nanofabrication, characterization and the development of miniaturized devices. Experience with multivariate analysis, computational methods or statistical techniques is highly desirable. The PhD projects are highly
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%) doctoral scholarship holder in the field of Programmable and Intelligent Networks Position You will work actively on the preparation and defence of a PhD thesis Resource-Aware AI for Next-Generation Networks
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be a part of the diverse Caltech community. Job Summary The selected candidate will contribute to a growing research program in Artificial Intelligence and Mathematics. Working under the guidance
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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The PhD stipend is open for appointment from 1st June 2026 or soon
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. Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content International Max Planck Research School – Biological