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audiences and an ability to work well independently using own initiative, as well as part of a team. Experience in a variety of advanced microscopy techniques and computational biology expertise are desired
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of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers designing and translating technology into the clinical
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programme investigating early lung fibrosis at King’s College London. It is anticipated candidates will have a relevant PhD in immunology or respiratory sciences, and have experience with cell culture
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-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid growth of HPC alongside AI is creating an urgent sustainability
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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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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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encouraging of collaborative interactions between groups. Role Summary Applicants will have a PhD in Biochemistry, Protein Engineering, Structural Biology or Synthetic Biology, Molecular Plant Pathology
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dynamics and (at intermediate redshifts) strong gravitational lensing, thus preserving and extending the team’s lead in this field. Applicants should have a PhD (or close to completion) in (Astro) physics