14 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Andorra
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benefit from being part of the wider London number theory community, with the London Number Theory Seminar and associated study groups hosted by Imperial, King’s and UCL, and also take part in the biannual
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research experience in using mathematical machine learning and AI methods, or applied mathematics, to solve challenging problems. Your research will have potential for real-world application in areas
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areas of specialisation, we welcome those with complementary expertise, notably in continuous optimisation and/or machine learning. The other criteria that will be used when shortlisting for this post can
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supported by cutting edge facilities including mass spectrometry, flow cytometry, sequencing, automation, scientific computing, bioinformatics, and machine learning. GBI will also have access to substantial
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, (s.sivek@imperial.ac.uk). We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=26105&jobTitle
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regarding the post please contact Prof Paolo Cascini, (p.cascini@imperial.ac.uk) We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://www.imperial.ac.uk/jobs
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support.jobs@imperial.ac.uk. We're here to help. Closing date: 30 November 2025 (23:59 hours, Midnight GMT) We are not accepting applications for this job through MathJobs.Org right now. Please apply at https
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Location: London, London W1S 4BS, United Kingdom of Great Britain and Northern Ireland [map ] Subject Areas: Theoretical Physics Machine Learning / Data Science Pure Mathematics Mathematics AI/Machine
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Animation, BA Immersive Media & Mixed Reality, MA Virtual Reality, BA Computer Animation & Visual Effects, MA VFX, MA 3D Computer Animation, BA Games Art, and BA/MA Games Design. The programme brings together
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Fixed Term - 8.5 months Part time - 14.8 hours per week Hybrid – LCC Elephant and Castle/Home The opportunity We are looking for an experienced academic to develop teaching and learning materials