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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience relevant to the post. It is also
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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. Applicants should have a PhD in Cultural Geography, Environmental Arts or a closely related field; knowledge of current climate- and ocean-related scholarship in the Blue Humanities; a track record of
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researchers at Queen Mary University of London (Dr Margherita Malanchini) and King’s College London (Professor Robert Plomin), contributing to a broader network of PhD students and postdoctoral researchers. Key
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and
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Medicine 2023) and dissect their context -dependent role during cancer evolution (Ganguli, Nature Cancer, 2025). We also maintain a highly accessed resource of cancer genes (http://network-cancer-genes.org
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disciplines both within and beyond QMUL and are a core member of the International Trauma Research Network that includes academic partners across Europe and North America. Our highly developed human discovery
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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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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely