173 phd-position-wireless-sensor-networks Postdoctoral positions at University of Oxford
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This is a re-advertisement of vacancy 180153. Previous applicants need not apply. A postdoctoral position is available in Prof. Ivan Ahel’s group based in the Sir William Dunn School of Pathology
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), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal
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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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simulations of cells and systems. You should: • Hold a relevant PhD/DPhil or be near completion together with relevant experience • Possess sufficient specialist knowledge in the discipline, particularly
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development to work under the supervision of Dr Alistair Farley, Scientific Lead for Chemistry, with a dotted line to Professor Timothy Walsh. The position is based at the Ineos Oxford Institute, at the Life
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annum. This is a full time, fixed term position for 2 years. We are looking a passionate Postdoctoral Research Assistant to join the group of Prof Tal Arnon at the Kennedy Institute, the University
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manipulation tasks in a range of dynamic domains (industrial, service, domestic). This position will focus on using and developing learning-based perceptive approaches. You will develop a control framework
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Alliance. Other duties will include contributing to community activities such as seminars and networking events and developing skills in many areas of computational biological research via independent study
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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, and computational science while developing a broad skill set. The successful candidate will have, or be close to completion of, a PhD in a discipline closely related to neuroscience. With experience in