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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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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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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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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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, presentation and analytical skills and willing learn additional skills as well. Self-motivated, hardworking, flexible and professional approach to work. About the School/Department/Institute/Project The Faculty