33 machine-learning "https:" "https:" "https:" Fellowship positions in United Kingdom
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, extraction and linkage expertise to join the NIHR-funded Mental Health Research Group (MHRG) at the University of Plymouth. This post sits within the Mental Health Learning System, a 5-year programme of work
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sustainability. The School is a leading European business school with a strong global presence by 2027 and has 200 plus academic and teaching staff. In addition, 13 funded research centres (https://www.dur.ac.uk
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pension 29 days annual leave plus bank holidays, along with Christmas closure Ride to work and EV car scheme available For more information, please see University of Manchester Benefits . You can also find
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streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use
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Christmas closure Ride to work and EV car scheme available For more information, please see University of Manchester Benefits . You can also find information on our Flexible and Hybrid working here . We
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mental health problems. Play a central role in the Mental Health Learning Systems Project. Explore how the experiences of people using services and the staff delivering care can be better understood and
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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development, the evolution of pleiotropy and co-option, and gene regulatory network evolution. Please see https://www.crick.ac.uk/research/labs/james-difrisco or email [email protected] for more
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will help influence how new evidence drives system change, supporting the region’s shift toward a more integrated, equitable, and learning-oriented model of mental health care. You will be part of
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, organised researcher who can evidence: A PhD, or equivalent in statistics, machine learning or a closely related discipline, OR near to completion of a PhD. Expert knowledge of statistical inference methods