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(R1) Recognised Researcher (R2) Positions PhD Positions Application Deadline 23 Aug 2026 - 00:00 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 37
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Berlin conducts interdisciplinary science to understand, anticipate, and shape major disruptions from Artificial Intelligence (AI) to the way we think, learn, work, play, cooperate, and govern. Our goal is
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required, the project involves the analysis of experimental data. The post-doctoral appointee may have the opportunity to teach one or two ten-week courses, contingent on course availability in
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-supervision of a PhD candidate and collaboration with researchers and project partners. Curious to learn more? Visit the GRDC website to discover more. The team Reporting to Dr Fien Degryse, Grant-Funded
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University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to develop industry-relevant applied research skillsets while working
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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UiO/Anders Lien 15th August 2026 Languages English English English PhD Research Fellow in Computational Nuclear Physics and Reactor Simulations Apply for this job See advertisement About the
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https://www.jobbnorge.no/en/available-jobs/job/304619/phd-research-fellow-in-ma… Work Location(s) Number of offers available1Company/InstituteDepartment of Business, Marketing, and Law at USN School
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
the ARC Discovery Project grant “Responsible Statistical Learning: Uncertainty, Fairness and Transparency”. The successful candidate will play a key role in advancing high-quality research under the ARC
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acquired across multiple anatomical regions to form a patient-level assessment. This PhD project will investigate novel deep learning methodologies that jointly model anatomical structure and prediction