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under real-world conditions. The role includes collaboration with leading 2D materials manufacturers, offering potential for interdisciplinary research and travel. About You You should have a PhD (or be
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conference presentations. You should hold (or be near completion of) a PhD in Chemical Engineering, Environmental Engineering, Materials Science, or a related field. Essential skills include hands
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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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and flexible mind set to drive the project. Key attributes of the successful applicant include: BSc and PhD in an appropriate field Experience in thrombosis and haemostasis research Experience with
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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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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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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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in the ongoing drive to reduce animal use in scientific research. Applicants must hold a PhD in Cell Biology or related discipline and have a track-record of success, as indicated by first-author