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changes in ecosystem function, fisheries productivity and the biological carbon pump. As imaging technologies become increasingly accessible alongside traditional net sampling, new opportunities
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About Us The applicant will join the new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will
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NILM architectures, a distributed learning framework, and an industrially validated prototype, backed by publications, codes, and a clear path to further development and commercialisation opportunities
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new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad
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will also work closely with our industrial partner on process engineering for a scalable prototype facility and product output testing. The successful PhD student will be supervised by Prof Anh Phan from
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editing), transcriptomics, laser scanning confocal microscopy, computational imaging approaches for analysis of images and movies, stimulating neuronal function with opto- and thermo-genetics in vivo, and
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prototype facility and product output testing. The successful PhD student will be supervised by Prof Anh Phan from the Process Intensification Group at Newcastle University. There will also be an industrial
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hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant technical skills. Prior experience with medical imaging data and Python coding is
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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technical skills. Prior experience with medical imaging data and Python coding is required. If you are interested about this position, please click 'apply now' and submit you application. In case you have any