1,202 machine-learning "https:" "https:" "https:" "https:" research jobs in United Kingdom
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, learning under uncertainty) that is of an international standard, and that is carried out expertly, rigorously and in accordance with ethical guidelines. You will also participate actively in the lab
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. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 3 February 2026 Interviews will take place during week
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computation, operational research, management science and applied statistics, FinTech, data science and machine learning. There are currently 56 academic staff and about 154 research personnel in the Department
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| Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 5057 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique
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part-time post (0.2FTE) ideal for someone working in industry or with industry experience. This is because we want to bring in expertise with data processing and machine learning pipelines, and their
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transport calculations and programming. Expertise in quantum transport and using machine learning algorithms for first principle calculations will be distinct advantage. You should be able to work
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consumption of less healthy foods. For related previous research using similar methods, see: https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(25)00143-4/fulltext https://pubmed.ncbi.nlm.nih.gov
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consumption of less healthy foods. For related previous research using similar methods, see: https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(25)00143-4/fulltext https://pubmed.ncbi.nlm.nih.gov
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of intergenerational relations and population change. The Centre is led by Professor Jane Falkingham. For further details, see https://www.cpc.ac.uk/research_programme/connecting_generations/ This project will examine
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will contribute to developing know-how that can be used to generate a methodology based on physics-informed machine learning models for process development and optimisation. The project will validate a