998 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in United Kingdom
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University values diversity across our University community and welcomes applications from all sectors of society, particularly from underrepresented groups. For more information, please see our website https
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, or related field. Strong programming skills and experience with deep learning models, particularly Large Language Models. Evidence of producing high-quality research outputs. Experience contributing to and
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the Centre for Experimental Cancer Medicine and the Barts NHS Trust to achieve improvements in cancer patient care. BCI is also a partner in the CRUK City of London Major Centre (together with UCL, Kings and
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thinking. For further information about this position and to apply, visit http://jobs.sgul.ac.uk . St George’s School of Health and Medical Sciences is committed to promoting equality, diversity and
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, and functional genomics. The Biology Department hosts its own genomic facility and has recently developed a Research Centre on the theme: The Centre for Evolutionary and Functional Genomics (https
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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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transformation of society in western Europe (GREEKWEST)', which is funded by an ERC Starting Grant and hosted in the Department of Archaeology, Classics and Egyptology ( https://www.liverpool.ac.uk/archaeology
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Forensic Research Institute (FORRI) at Liverpool John Moores University. https://www.ljmu.ac.uk/research/centres-and-institutes/forensic-research-institute/related-research-groups/face-lab Informal enquiries
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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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mmWave Communications (mmWave TRACCS), which is a collaborative project with Queen Mary University of London (QMUL) and University College London (UCL). The project brings the complementary expertise