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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Safe Learning Based Control for Autonomous Robots in Dynamic
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one or more of the following areas is meriting: Bayesian statistics, mathematical modelling, probabilistic machine learning, deep learning, large language models. Rules governing PhD students are set
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An opportunity exists to join the world-leading Interdisciplinary Collaboration in System Medicine (ICSM) Research Group to work on an industrially funded PhD project that will use state-of-the-art
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to (1) optimize the design of hybrid electrical–optical computing architectures
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About the project: Machine learning accelerated electronic transport calculations for complex materials Supervisor: Prof. Neophytos Neophytou, University of Warwick Advancements in materials
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29th June 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Machine Learning Approaches to Conservation Condition
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 12 hours ago
interdisciplinarity, implemented in numerous cross-group and cross-disciplinary projects. The base funding of HITS is provided by the Klaus Tschira Foundation. HITS is looking to fill a fully funded PhD position (m/f/x
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), within the ATLAS group. The PhD student will join a large-scale international collaboration and participate in the activities of the ATLAS experiment at CERN. The work will focus on the analysis of data
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Application dates Applications close30 June 2026 What you'll receive You'll receive a stipend of $37,010 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time