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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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PhD (or be near completion) in a field such as AI, computer science, signal processing, biomedical engineering, have a strong record of publication in engineering or computer science literature, and
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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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July 2025. If you have any queries related to the role, please contact Professor Veronika Fikfak (). If you have any queries related to the application process, please contact Niamh Sutton (). About you
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blotting, microscopy, and drug/compound co-treatment in cellular assays Experience in antibiotic drug discovery You must also: Hold a PhD/DPhil in medicinal chemistry and chemical biology, together
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Mines de Paris, Université Marie et Louis Pasteur, Rheon Labs, ANSYS, and the National Physics Laboratories. The PDRA will also attend national and international conferences to develop experience and
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and how clonal hematopoiesis (CH) affects the normal physiological ageing process. You will work within a team that comprises of the Nerlov lab , working alongside other groups within the Molecular
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Mines de Paris, Université Marie et Louis Pasteur, Rheon Labs, ANSYS, and the National Physics Laboratories. The PDRA will also attend national and international conferences to develop experience and
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candidate should have (or expect to soon be awarded) a PhD in quantum information theory (including some aspects of quantum computing, quantum cryptography and/or quantum communication) and some experience in
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track