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to work in a highly dynamic, international team towards a common objective. In addition: A successfully completed BSc/MSc degree in computer science, artificial intelligence or engineering, or a similar
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in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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manufacturing trials. The successful applicant will have a strong background in engineering, materials science, chemistry or a related discipline, with enthusiasm for experimental research and computational
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engineering, materials science, chemistry or a related discipline, with enthusiasm for experimental research and computational modelling. Excellent communication skills and the ability to work collaboratively
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, Computer Science and the Biosciences. You will be supervised by Amanda Wright (Optics and Photonics Research Group, Faculty of Engineering), Mike Somekh (Optics and Photonics Research Group, Faculty
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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centre for the development of medical imaging, particularly MRI. Eligibility You must be a university graduate or expecting to graduate with a 1st class degree in engineering, physics, computer
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) Research Group and the Department of Mechanical, Materials and Manufacturing Engineering (M3) and within the Faculty of Engineering at the University of Nottingham. The PEMC is a global leader in power
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Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme; those based within the Faculty of Engineering have access to bespoke