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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences | Aberdeen, Scotland | United Kingdom | 21 days ago
Biological sciences » Biology Medical sciences » Medicine Technology » Biotechnology Computer science Researcher Profile Leading Researcher (R4) Established Researcher (R3) Application Deadline 8 Oct 2026 - 21
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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31 Jul 2026 Job Information Organisation/Company UCL EE Department Electronic and Electrical Engineering Research Field Engineering » Electrical engineering Engineering » Electronic engineering
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have and your CV/Cover letter (or application form) should clearly demonstrate you: Have, or are about to obtain, a PhD in, Civil/Structural Engineering or a related discipline. Have obtained a first or
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research, and teaching across UCL Energy Institute , UCL Institute for Environmental Design and Engineering , UCL Institute for Sustainable Heritage , and UCL Institute for Sustainable Resources . About the
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Applications are invited for one Research Fellowship in either Biological Anthropology; Biology/Biological Sciences; Biotechnology; Chemical Engineering; Chemistry; Computer Science; Ecology
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7 Jul 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Researcher Profile Leading Researcher (R4) Established Researcher (R3
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The Department of Engineering Science intends to appoint a full time Senior Research Fellow (SRF) in Biomedical Engineering, from 1 October 2026, or as soon as possible thereafter. This is a fixed
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of Southampton. The project will involve the development of an innovative new multiparametric sensor technology to monitor the microbial properties of cattle rumen. The ultimate aim is to design, test and deploy