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52 Faculty of Chemistry Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2028 Reference no.: 4486 Explore and teach
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civil society. Upholding best practice in research conduct, ethics, and data management. Person Specification You will hold (or be very close to completing) a PhD in a relevant field such as sound studies
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in continual learning settings. The core focus is on leveraging Reinforcement Learning (RL) to make the training and deployment of LLMs more computationally and sample efficient. This approach aims
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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profile: Completed doctoral/PhD studies in the field of Cultural and Intellectual History of Premodern South Asia (Indology) or a related discipline An excellent command of Sanskrit is essential
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the last HEFCE Research Assessment Exercise. The Faculty’s students enjoy unrivalled learning opportunities, supported by strong partnerships with industry and healthcare organisations. At both undergraduate
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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team consisting of four other PDRAs and several PhD students, academic leads from the University of Reading, University of Oxford and Northumbria University as well as project partners including