142 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of London in United Kingdom
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essential, along with a willingness to learn new systems. Strong organisational and numerical skills are key, as are excellent interpersonal abilities to build effective working relationships across
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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the department’s undergraduate and postgraduate taught programmes. Teaching duties will primarily involve working within a small team to deliver our Research Methods and Statistics courses under the direction of our
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epidemiological or econometric methods, using R software package, and an understanding of techniques used in agent-based modelling. The post is full-time 35 hours per week, 1.0 FTE and fixed term until 31 December
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About the Role The purpose of this role is to provide mixed methods and evidence synthesis research support for a Gates funded project examining the utility of iron preparations for maternal anaemia
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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works in partnership with subject matter experts across the institution, both in areas of management information and EDI, to create high quality reporting methods and outputs. The role holder will have
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programme. Around one third of young people experience elevated suspicious thoughts and paranoid ideation. “Treating Unhelpful Suspicious Thoughts in teenagers (TRUST): A schools-based feasibility randomised
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CoSector CoSector – University of London is a digital services provider that operates as part of the University of London. It evolved from the University of London Computer Centre (ULCC), established in 1968
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to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures of health, well-being, and human