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research centre at the University of Edinburgh. The programme aims to build on the principles of research excellence and mentorship developed during the successful ECAT Wellcome Clinical PhD Programme, with
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2nd September 2025 Languages English Norsk Bokmål English English Faculty of Biosciences, Fisheries and Economics PhD Fellow in Impact of Temperature on Embryonic Development of the stress axis in
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will be based in the University of Glasgow, University of Dundee, University of Edinburgh and University of St Andrews with potentially up to 7 fellowships available. Our aim is to develop the next
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. The posts will be based in the University of Glasgow, University of Dundee, University of Edinburgh and University of St Andrews with potentially up to 7 fellowships available . Our aim is to develop
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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applying Natural Language Processing (NLP) algorithms. Knowledge or prior experience in Virtual Reality technologies. Work Plan: The grant aims to develop Agricultural Simulations using Virtual Reality as a
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Applications are open for 1 Research Studentship, within the Recovery and Resilience Plan (RRP) project “Alliance for the Energy Transition” Workplan: This research fellowship will focus on the development
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
, with application to biomedical flows (e.g. microcirculation) it is now intended to develop an improved algorithm for advanced particle tracking using machine learning. The algorithm should be tested in
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the methodologies for preventing unintended, harmful behaviors in open-source AI models. Your work will focus on the foundational challenges of safety, from mitigating algorithmic bias to ensuring systems remain
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architectures for explainable dual-process computation Design and development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve