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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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research materials and analysing and presenting qualitative and/or quantitative data from a variety of sources. The successful candidate will hold a PhD degree in a relevant topic (e.g. Biomedical sciences
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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in top-tier scientific journals. It is essential that you hold a PhD/DPhil (or close to completion) in tumour immunology or a related life science field together with background in cancer research. You
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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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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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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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use respiratory stimuli such as hypercapnic air mixtures delivered via a mask, breath-holds and hyperventilation to induce blood flow changes. You should hold a relevant PhD/DPhil or be near completion
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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