992 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in United Kingdom
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to undertake analyses of neuroimaging measures, apply machine learning approaches to clinical and neuroimaging data, the development of clinical services, the conducting of meta-analyses, and the analysis of pre
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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also have a chance to instruct Doctoral researchers and Master thesis candidates and develop towards a more independent position. Background and expertise We are looking for candidates who understand
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contribution Work arrangement Full-time (flexible-options considered) Duration 1st May 2026 - 31st Oct 2026 Line manager Research Fellow in Water Systems Microbiology Direct reports None Our website https
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). At UEL, we don’t just teach; we inspire, innovate, and empower. Join us as we continue to shape the future. About Sustainability Research Institute at the University of East London The Sustainability
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collaborators, contributing ideas and troubleshooting. You will have excellent opportunity to work with a broad range of researchers in both Newcastle and internationally. For more information see, https
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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Surrey’s track record of translating fundamental machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate
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About the role The work has a particular focus on quantitative analysis of the national data to estimate mental health needs which are both known and unknown to health services related to mental health for adolescents and their families. The post-holder will conduct analyses of national...
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well-structured projects, secondments, and training activities. This comprehensive approach ensures that the candidates acquire the multidisciplinary knowledge and skills required to address real-world