431 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship research jobs in United Kingdom
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological prediction. The Research Fellow will develop ML methods for postprocessing numerical ensemble weather
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
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to £43,805 per annum Apply by: 26/04/2026 Role Description We welcome applications from skilled, delivery-focused engineers to contribute to our successful railways-applied smart machines research programme
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-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly motivated and multiskilled Research Fellow with expertise in
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to £43,805 per annum We welcome applications from skilled, delivery-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly
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researchers, entrepreneurs, and industry leaders to create measurable impact. With a £4.5 million live project portfolio – https://cbitvb.uk/projects/ – CBIT operates through three pillars: Applied Research
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part of the Structural Genomics Consortium (SGC) Target 2035 Initiative, a global collaboration in the area of protein science, machine learning and data science towards improving our ability to predict
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that have brought new therapeutic strategies to patients. Further information can be found on our website http://www.ucl.ac.uk/pharmacy/ The Division is housed in an iconic, dedicated building in Brunswick