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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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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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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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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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powerful general purpose intelligent systems, as the “brains” of an agent. We aim to revisit the question of agent design, where LLMs provide NLP interfaces and reasoning capabilities for agents. Our work
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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