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/Robotics or a closely related discipline. You will have an extensive background in coding (e.g., python, C++) and have some works published in top-tier conferences/journals. Candidate must have prior work
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KingdomCityNottinghamGeofield Contact City Nottingham Website http://www.nottingham.ac.uk/ Postal Code NG7 2RD STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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of NottinghamCountryUnited KingdomCityGlasgowGeofield Contact City Nottingham Website http://www.nottingham.ac.uk/ Postal Code NG7 2RD STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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to undertake independent research as well as working as part of a team. This will include using approaches or methodologies and techniques appropriate to the type of research, as follows: Write code to apply
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Applications are invited for the role of Clinical Research Fellow within the Academic Unit, Mental Health and Clinical Neurosciences, based in F3, in the Magnetic Resonance and Precision Imaging (MR
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them in reaching their full potential. The College is an equal opportunities employer and adheres to the University’s Equal Opportunities Policy and Code of Practice, a copy of which is available
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and DC fast charging protocols. Support knowledge transfer, prototype development, and system integration. Carry out Risk Assessment and ensure compliance with Work, Safety, and Health Regulations
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: Write code to apply biodiversity credit methodologies to data on a wide range of species groups. Co-develop, with the project investigators, scenarios for testing the methodologies. Develop and code data
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, a dedicated Babylab (http://www.psy.plymouth.ac.uk/babylab/ ) and a new state-of-the-art Brain Research and Imaging Centre (https://www.plymouth.ac.uk/research/psychology/brain-research-and-imaging
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practical workshops, and we recently partnered with KCL’s Spatial Biology Facility , an advanced centre equipped for high-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data