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to determine the activators of inflammation in atherosclerosis. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data (e.g. flow and mass cytometry, confocal
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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 discispline. You
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data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy
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? - Information Page The Role and Department Green Corridors North East (GCNE) is a 3-year Arts and Humanities Council (AHRC) funded research project and a pilot for the new AHRC Mission scheme. The project is a
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, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in
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scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
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. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Neuroscience Experience in rodent stereotaxic surgeries
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strategic dissemination, ultimately aiming for widespread adoption and commercial success. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written
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, building the experimental apparatus, conducting the experiments, analysing the data, and producing the manuscripts for publication (as first author), as well as disseminating the results of the project
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, “Determining extinction correlates on geological timescales”. Providing guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project students