23 machine-learning "https:" "https:" "CMU Portugal Program FCT" positions in Andorra
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mathematical machine learning and AI methods, or applied mathematics, to solve challenging problems. Your research will have potential for real-world application in areas including, but not limited to, cyber
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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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resources, including the "Cosmology Machine", some of which is part of the DiRAC national supercomputing facility. Further information may be found at http://www.astro.dur.ac.uk . For all posts, salaries
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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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to be held in late January 2026. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://www.kcl.ac.uk/jobs/130425-research-associate-in-number-theory
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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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contact Ms Graziela de Nadai, Section Administrator, g.denadai@imperial.ac.uk Application Materials Required: Further Info: https://www.imperial.ac.uk/theoretical-physics/ Abdus Salam Centre
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probability theory. A good starting point to get familiar with the topic is the paper ‘Sharp threshold for the ballisticity of the random walk on the exclusion process’ ( https://arxiv.org/abs/2409.02096 in