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well as clinical phenotyping in participants. The work will involve close collaboration with other team members, driving the programme on aetiopathology of neuropsychiatric disease forward. It will also involve
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience
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women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
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. The main objectives of Dr Kapetanovic’s research programmes are the: • Development of novel genetic and optogenetic therapies for retinal diseases. • Investigation of innovative ocular surgical techniques
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. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
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or computational). You should have the skills to manage your project at times and support colleagues within the lab. You will communicate clearly with the team.
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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will apply a multi-disciplinary Team Science approach to deliver fundamental new insights into the role of S-acylation in cell physiology. The successful candidate will join an ongoing research program
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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