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About us Ben Miller’s research group at UCL’s London Centre for Nanotechnology develops quantum-sensing approaches for biological applications with a particular interest in nanoparticle probes and
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computational modelling of magnetic field distributions and sensor performance, materials and device engineering (spin defect characterisation, optically detected magnetic resonance (ODMR), sensor packaging and
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About us The Division of Biosciences at UCL is one of the world's foremost centres for research and teaching in the biological sciences. You will join the Computational Cancer Biology Group led by
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of the interactions between building stocks, heat and cooling demand, and electricity distribution networks. They will develop new computational approaches, contribute to the expansion of existing modelling tools, and
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Applicants must have a PhD in Epidemiology, Health Informatics or Applied Data Science, and an a high level of relevant postdoctoral research experience in applied health research, good experience of data
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as separate stages. A particular focus will be on high-stakes healthcare settings, where sensitive data must support reliable planning, capacity, and resource-allocation decisions under uncertainty
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interpreting ethnographic data including multimodal interactional data, and contributing to high-quality research publications and reports. About you You will demonstrate a commitment to the ethical and
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generates the funding for our research by setting out our proposals in high quality applications to public, charitable and industrial funding bodies and disseminates the results of our research by publication
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, interpretability and cognitive modelling of language models. The group is part of the UCL ELLIS Unit and has links to the UCL AI Centre and UCL Computer Science. About the role The postholder will carry out original
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of stakeholders including academic colleagues, data providers, external partners and members of the public, while also demonstrating initiative, self-motivation and a commitment to high standards in