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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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Experience in quantitative analysis of Magnetic Resonance Imaging/Spectroscopy Ideally, experience and knowledge of paediatric brain tumour diagnosis and tumour biology Experience of using and developing
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
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passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary
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parasite biology and access to facilities including a derogated CL3, and state-of-the-art flow cytometry, genomics and imaging facilities. Applicants with enthusiasm for teaching at undergraduate and
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We are seeking to appoint a 3-year Research Fellow within the School of Mathematical Sciences at the University of Southampton in the research programme “Mathematical Foundations of Intelligence
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Coordinate procurement and liaison with vendors/suppliers. Participate in computer science
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
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translates world-leading science into world-class healthcare. Find out more about working with us here: https://nottinghambrc.nihr.ac.uk/research/magnetic-resonance-and-precision-imaging . The University