13 condition-monitoring-machine-learning Postdoctoral positions at University of London in london
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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research into planet formation/protoplanetary discs or the ISM/star formation and may also have some experience in statistical methods and/or machine learning. Dr Winter and QMUL are committed to improving
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, Spain and Norway. The project runs until early 2028 and investigates the potential role of performance-based arts in understanding how coastal communities learn about and respond to ecological crises
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on aiding the development of precision cut heart slices from pigs to assess the impact of cardio-protective compounds on slices exposed to various conditions. The work forms part of a translational approach
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organ-chip models. These include different combinations of tissues such as synovium, cartilage, bone, meniscus, blood vessels and fat, as well as conditions such as inflammation, osteoarthritis and
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dynamic mix of molecular biologists, bioinformaticians and clinical fellows providing a unique environment for development and learning in cancer genomics and translational research. We work with large
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Astronomy are proud to hold IoP JUNO Champion status and Athena SWAN silver status and have a number of supportive policies in place to facilitate a diverse and inclusive working environment within the school
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to equality, diversity and inclusion (EDI), and encourages applications from all people regardless of age, disability, gender, marital status, parental status, race, religion or belief, sexual orientation
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to equality, diversity and inclusion (EDI), and encourages applications from all people regardless of age, disability, gender, marital status, parental status, race, religion or belief, sexual orientation
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possible for this role. Royal Holloway is committed to equality, diversity and inclusion (EDI), and encourages applications from all people regardless of age, disability, gender, marital status, parental