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activities for the project. The successful candidate will hold, or be about to attain, a relevant PhD/DPhil (or equivalent) in a relevant discipline together with specialised experience in mental health and/or
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close to completing, a PhD/DPhil in cell biology, molecular biology, biomedicine, or a related field. You will have in-depth knowledge and experience in the cell and molecular biology of cancer, as
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sciences discipline, you will be self-motivated, imaginative and able to plan and deliver a research project. You will have a PhD (or be near completion) in one of the above disciplines and have experience
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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
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applications and optimization of bioelectronic devices for selective and controlled therapeutic release. You should hold a relevant PhD (or be near completion) in fields such as biomedical, electrical
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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research outcomes to advance knowledge in the specialist area. It is essential that you hold a PhD/DPhil (or close to completion) in biochemistry, molecular biology, neuroscience or a related field, and have
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well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics or another related area. (For
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the laboratories of Prof Carlo Rinaldi. You will be well supported by the existing joint team, currently consisting of postdocs, bioinformaticians, PhD candidates, and research assistants. The post holder will be
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determined by the funding available. About you You should hold, or be near completion of, a PhD/DPhil in Molecular Microbiology, Biochemistry, Biophysics or related discipline. You must have substantive