369 machine-learning "https:" "https:" "https:" "https:" "The Open University" "The Open University" Postdoctoral positions in United Kingdom
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classification algorithms including machine learning); and the output data and interpretability. The project “SORS in the community” is funded by the EPSRC (https://www.ukri.org/news/new-tools-aim-to-improve-early
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. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus. You will join an interdisciplinary team of researchers spanning imaging science, machine learning
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at https://jmhutson.webspace.durham.ac.uk and a description of recent research achievements and current projects is available in a link from there. The successful applicants will work to understand
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in computer security. In particular the work will seek to deliver novel contributions that enable such systems to safely continue to operate even when they have been partially compromised and
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experiments for investigating the neural mechanisms underlying habitual behaviours and learning adaptation to uncertainty. You will use fMRI and neurostimulatory techniques (ultrasound neurostimulation and/or
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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite
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thriving community of researchers working in related subject areas. You will design and conduct research into human behaviour (habits, learning under uncertainty) that is of an international standard, and
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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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| 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