449 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" "Mines Paris PSL" Fellowship positions in United Kingdom
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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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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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should be made via the online application system at: https://app.casc.cam.ac.uk/fas_live/trinclfms// . Further details are available at: https://www.trin.cam.ac.uk/hr/vacancies/ . The closing date
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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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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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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
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complexes (OCCs). This will be achieved through micro-scale analyses (this vaccancy) of drill-core samples collected from the Atlantis Massif OCC during IODP Expedition 399 (Lang et al. 2025; https://doi.org
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-worker-visa . For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent What we offer in return 26 days
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Science (ECS) (http://ecs.soton.ac.uk ). Ranked in the top 1% of universities globally and among the UK's top 20 for research, the University of Southampton has an international reputation for its research
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design and implementation of visual cues detection on video datasets (face and gesture), context-aware multimodal analysis, machine learning/self-supervised learning for automatically detecting subtle