164 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at University of Oxford
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to produce optimal designs. Applicants should have skills in modelling, familiarity with partial differential equations, and be familiar with python. They will have, or be close to completing, a PhD in
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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We are currently inviting applications for a Postdoctoral Research Associate to work with Professor Maria Bruna at the Mathematical Institute, University of Oxford. This is a fixed-term position for
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and real clinical scenarios. Evaluation may involve quantitative studies (model performance) and quality studies (human factors assessment). You should hold a relevant PhD/DPhil (or be near completion
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neurological function, including in rugby and snow sports. You should hold or be near completion of a PhD/DPhil in Biomedical, Electrical or Information Engineering or other relevant disciplines, and possess
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biotechnology, design, and engineering across Northumbria, Oxford, and Imperial, as well as start-ups and SME collaborators who are already bringing novel materials to market. Applicants should hold a PhD, or be
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of Engineering Science (central Oxford). The post is funded by the EPSRC research funds and is fixed-term for up to one year. The successful applicant will have experience on using sequential decision-making methods
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at the University of Oxford. The position is funded by the EPSRC-FNR project “FleXEdge - Data-Driven Cloud-to-Edge Computing for Scalable Near Real-Time Local Flexibility Markets”. It is fixed-term for 36 months
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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
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addition, you develop state of the art predictive modelling based on deep generative models to predict patient outcomes under different exposures. It is essential that you hold a PhD/DPhil in Statistics