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Field
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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volcanoes in the eastern Caribbean. Research will include analysis of materials from pre-existing sample collections, and also collaborative fieldwork to collect new samples. About you You will hold or be
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of the most important technological challenges of our time. The postholder will adapt existing and develop new research methodologies and materials, contribute to develop new theories and analyse qualitative
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The Role Applications are invited for a Postdoctoral Research Associate in the field of agent-based modelling of past societies, working on the Science, Society and Environmental Change in the First Millennium CE (SSE1K) project ( ). The project is funded by the ERC and began in 2023. It is led...
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of the most important technological challenges of our time. The postholder will adapt existing and develop new research methodologies and materials, contribute to develop new theories and analyse qualitative
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benefits of CPL detection would allow the broad communities of life and material sciences to adopt this facile technology. We forecast a potentially game-changing impact on a global scale that reaches
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neuroscience or a related field. Experience of MEG/OPM-MEG acquisition and data analysis is essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
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be able to communicate material of a technical nature and be able to build internal and external contacts. You may be asked to assist in the supervision of student projects, the development of student
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Modernising Medical Microbiology (MMM) unit at the University of Oxford (https://www.expmedndm.ox.ac.uk/mmm). You will be joining a highly interdisciplinary team of approximately 40 clinicians, computational