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, epidemiology, or statistics. The post-holder should have experience analysing data in large developmental cohort studies, experience with using structural equation modelling and network modelling applied
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, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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of Engineering and Materials Science (SEMS) at Queen Mary University of London, you will join a dynamic, multidisciplinary team with world-class laboratories and extensive collaborative networks, providing
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status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be
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and Immigration website . Full-Time, Fixed-Term (36 months) We are looking for a highly motivated early career researcher with a PhD (or near completion) in psychology, life sciences, genetics
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Computer Science as part of Royal Holloway’s Centre for AI. Royal Holloway offers an extensive rewards and benefits package including generous annual leave as well as a wide variety of training and development
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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About the Role The post is based in the Trauma Sciences Research team within the Centre for Neuroscience, Surgery and Trauma. The Trauma Sciences research team (www.c4ts.qmul.ac.uk) provides
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. As a result, we actively collaborate with experts in Computer Science as part of Royal Holloway’s Centre for AI. In return we offer a highly competitive rewards and benefits package including: Generous