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policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made
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. The post-holder will have expertise in optimisation modeling, machine learning techniques, excellent programming skills, simulation modeling and a strong track record of developing both academic and publicly
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programming skills, simulation modeling and a strong track record of developing both academic and publicly facing research outputs. This role is based at the Loughborough Business School, Loughborough
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experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools; Code synthesis
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experimental processes, and automatization. In discussion with the successful candidate, they will choose further research areas within our group, such as enhancing the spatial and temporal resolution
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and infer how these drugs can better be used to treat depression. About the role: This postdoctoral role is a unique opportunity to apply cutting edge statistical genetics tools to international
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, inclusive employment policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable
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Methodological knowledge in machine learning-based analyses, research syntheses and behavioral observation Knowledge of university processes and structures Aptitude for independent teaching of courses in
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biological processes from their designs. The work will be carried out with Prof Mike Fowler https://www.swansea.ac.uk/staff/m.s.fowler within the Dept of Biosciences the Centre for Biomathematics at Swansea
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of production-quality software, the application of Simulation Based Inference and strong communication skills. For more information see the detailed job description and person specification. Research Environment