425 machine-learning "https:" "https:" "https:" "https:" "The Open University" Fellowship positions in United Kingdom
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of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-andbenefits Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks
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. Neuromorphic sensing, e.g. astronomical imaging (https://www.optera.au/) Software verification tools for space robotics. Electric Propulsion & Space Debris mitigation The University actively fosters a culture of
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and government partners. We are looking to recruit a passionate and committed researcher to drive forward our work on simulating possible transitions away from individualised car ownership. This work
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Matcher (https://www.sheffield.ac.uk/eee/people/academic-staff/stephen-matcher ) and the Human Parturition Research Group of Prof Dilly Anumba (https://www.sheffield.ac.uk/smph/people/clinical-medicine
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of Aberdeen to work on a project “Predicting Response in Triple Negative Breast Cancer Using Machine Learning”. We seek to appoint a creative and motivated individual to use machine learning (ML) to identify
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/drc/ ). About the role The role will contribute to on-going research at the UCL Hawkes Institute to develop advances in computational modelling of neurodegenerative disease, machine learning, and big
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digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and artificial intelligence Software engineering Position details Positions are intended
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, shortlisting and interviews: Name: Dr Thomas Allen Email: thomas.allen@manchester.ac.uk General enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: https
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professionals in developing countries Distance Learning Scholarships for developing country students to study UK Master's degree courses while living in their own countries Please note, however, that not all
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and well-being Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning Progressive