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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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generate key structural and biophysical data to support the design of small molecule inhibitors with particular focus on protein production and crystallisation, solving protein-ligand structures, fragment
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facilely applied as a photoluminescent layer, targeting in situ detection and non-contact visualization of surface temperatures and pressures. You should hold a PhD/DPhil (or near completion*) in materials
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to real-world actions. This is an exciting opportunity to contribute to foundational work at the intersection of AI safety and autonomous system deployment. You will be responsible for designing experiments
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precancers and developing targeted interventions, including vaccines, to intercept them. The project focuses on designing, validating, and preclinically testing neoepitope-based mRNA vaccines to prevent BRCA
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precancers and developing targeted interventions, including vaccines, to intercept them. The project focuses on designing, validating, and preclinically testing neoepitope-based mRNA vaccines to prevent BRCA
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AI technologies that will revolutionize how we understand and respond to human behaviour in both real-time and long-term contexts. You will play a crucial role in the testing and design of novel
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approaches, as well as being able to build on expertise in bacteriology, cell biology, structural biology and biochemistry in the group. You should hold, or be close to completion of, a PhD/DPhil in biological
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of, a PhD/DPhil in biological sciences and have relevant experience in biochemistry, protein purification and microbiology. You should be able to work independently and have enthusiasm to creatively think
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon