585 computer-science-intern "https:" "https:" "https:" "https:" "Dublin City University" Postdoctoral positions in United Kingdom
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Applications are invited for a Postdoctoral Research Associate (PDRA) position within the Department of Earth, Ocean and Ecological Sciences at the University of Liverpool (UoL), UK. The position is
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Postdoctoral Research Associate ( Job Number: 26000129) Department of Computer Science Grade 7: - £ 38,784 - £41,064 per annum Fixed Term - Full Time Contracted Hours per Week: 35 Closing Date : 11
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently-funded EPSRC Programme grant, undertaking research into nanotheranostics, support
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the long twentieth century (1890s-2020s). The project team will explore the historical engagements, collaborations and frictions between conservation theories and practices and international, global, and
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We are seeking to appoint a Postdoctoral Researcher in Neuroscience to play a central role in a Wellcome-funded translational research programme focused on understanding how immune mechanisms
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£14M 5-year UKRI sponsored research program across 4 institutions (Edinburgh, Oxford, Imperial, CRUK SI) pioneering engineering biology for advanced therapeutics. It is developing novel genetic tools
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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grants from national and international funding bodies You will hold a PhD/DPhil in Social Sciences or a related subject and possess a track record of original qualitative research and sufficient knowledge
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Grade UE07: £41,064 - £48,822 per annum pro-rata if part-time College of Science and Engineering / School of Biological Sciences Full-time: 35 hours per week Fixed-term: for 36 months
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such as computational social science, computer science, or cognitive science. They will have a demonstrable track record in studying humans and machine learning models, in the context of human social