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the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g
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Professor Chris Russell. This is an exciting opportunity for you to work at the cutting edge of AI, contributing to a major shift in how we understand and apply foundation models. The position is full-time
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Science, Robotics, AI, or a related field Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human-centred AI
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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Science, Robotics, AI, or a related field 2. Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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to write material of a quality commensurate with publication in highly-ranked journals. · Demonstrable ability to present research findings at meetings or conferences and to communicate complex
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characterisation of bimetallic complexes which mimic the structure and reactivity of the Acetyl Co-enzyme A Synthase cofactor, in a collaborative project involving King’s College London and Imperial College London
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The Role Applications are invited for a Postdoctoral Research Associate in Physical Chemistry. Job Description:Chameleon Dyes: Circularly Polarised Luminescent Photography and Lanthanide Complexes
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The Opportunity: We are seeking a post-doctoral fellow to develop ‘genome surgery’ approaches to correct patient-modelled variants in cell-based and in vivo models as part of our recently launched