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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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underpin UK sexual health policies and programmes. You can read more about the Natsal surveys here: https://www.natsal.ac.uk/ Based in the School of Health and Wellbeing, you will make a leading contribution
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language processing, machine learning and skills taxonomies, you will help generate meaningful insights into current and future engineering skills needs. Your work will support industry, policymakers, educators and
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, or related fields. Successful candidates will work closely with leading faculty, learn to provide research assistance, e.g., in the form of data collection and analysis, and will receive mentoring from
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visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa. As a valued member of our team, you can expect
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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on the Vector Observatory project (https://www.malariagen.net/vobs/ ). Malaria continues to pose a major global health challenge, and mosquito vectors are central to transmission. The project addresses three
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balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409216/research
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therapeutics. You will join the MRC/BHF Centre of Research Excellence in Advanced Cardiac Therapies https://www.advancedcardiactherapies.ac.uk/ , co-hosted at the Institute of Developmental and Regenerative
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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