197 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Nottingham
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Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic theory and econometric analysis. We are particularly interested in
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for the management of modules needed by new Academics across Faculties for qualification/accreditation to teach in the UK higher education system. The programme and material for the teaching and assessment
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for the transition from fossil carbon towards a sustainable net-zero future, as well as growth and sustainability of the UK economy and beyond. https://www.nottingham.ac.uk/news/c-loop-ukri C-Loop is a collaborative
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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Time, 15 May 2026 via the link below: https://jobs.nottingham.edu.cn/job/184503/ which should include the following: A cover letter An up-to-date CV A publication list (MathSciNet MR author ID required
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centre for management education of the UK’s most successful universities. Further information about the School is available at: http://www.nottingham.ac.uk/business/ Are you looking for a role that
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The Pilgrim Group is seeking a highly motivated and talented researcher to join our team (https://www.thepilgrimgroup.co.uk/). This post is funded by Dr Ben Pilgrim’s Royal Society University
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@exmail.nottingham.ac.uk Please note that applications sent directly to this email address will not be accepted. Job Reference: NHE541226 All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs
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unit and individual and collaborative research in the area of Power Electronic, Machine and Control. The role holder will be expected to conduct and lead high-caliber, impactful research at the forefront
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through