856 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions in United Kingdom
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shared sense of what is real and societal cohesion. Applications are welcome from all those working on this topic within any area of the Arts, Humanities and Social Sciences and who wish to undertake a
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Would you like to be a part of an exciting project to improve circular manufacturing? Do you have a background in robotics? Are you inspired by utilising robotic systems to drive sustainability? As a key member of the Real Robotics Lab, you will lead the development of innovative robotic...
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21 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Kingdom
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neuronal activity in rodent models of vascular dementia, with the aim of understanding how this affects white matter. Your skills and attributes for success: A PhD (or close to completion) in neuroscience
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large team with colleagues in Leeds studying other aspects of blood clot structure and function and their influence on thrombosis. You will have a PhD in molecular biology, cell biology, biomedical
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the final stages of PhD completion, in a relevant biomedical science (including but not limited to: immunology, molecular biology, cell biology, biochemistry) Experience in molecular biology, mammalian cell
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independently and in close collaboration with in-country partners. The applicant should have an excellent academic track record that includes formal training in microbiology as well as a relevant PhD (public
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innovative research programmes. You may also: Hold a PhD in genetics, pathology, cancer cell biology, computer science, data science, or a related discipline. Have a significant research profile with a strong
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analysis, and may contribute to scientific publications. The CRF will work closely with the broader multidisciplinary team, including postdoctoral researchers in biomedical engineering and computer vision
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lead (Dr Neha Pathak). About you PhD or equivalent experience in epidemiology, statistics, public health, social sciences or similar field. It is essential that the successful candidate has extensive