72 postdoctoral-image-processing-in-computer-science-"Multiple" Fellowship positions at University of Nottingham
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between the School of Education and the School of Mathematical Sciences. The Observatory is generating state-of-the-art, evidence-driven, and policy-relevant research to improve mathematical education
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institutions; (ii) interact in a professional manner with industrial partners in a highly multidisciplinary environment; (iii) work to very tight deadlines and manage multiple projects; (iv) Report regularly
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Group. The role will provide an opportunity to work across multiple projects within the realms of Artificial Intelligence and Digital Screening. The role holder will collaborate with cross-functional
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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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
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Applications are invited for a postdoctoral research position at the University of Nottingham, to work on simulations of galaxy clusters with Dr. Yannick Bahé. This position is part of a UKRI funded
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, Chemistry, Engineering, preferably in an area involving Raman spectroscopy (Applicants in the process of Ph.D. submission will be considered.) • Knowledge of Raman spectroscopy instrumentation. • Strong
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volunteer pilot-study in healthy participants involving intake of sugar and alcohol, neuroimaging, collection of biological samples and subsequent analysis using molecular biology techniques. You will be
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches