18 algorithm-development-"Multiple"-"Simons-Foundation" Fellowship positions at University of Leeds
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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
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the climate crisis while also demonstrating a strong background in communicating evidence and insights to multiple stakeholders. Please note that this post may be suitable for sponsorship under the Skilled
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). This role is an exciting opportunity to take a role in the development, management and analysis of a new repository of Individual Participant Data (IPD) from ageing research trials. The work is an
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flows, using data on e-mobility demand, traffic and parking patterns, and grid configuration. This work will contribute to the development of statistical models to predict and support power supply
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Biological Sciences Research Council (BBSRC) and will involve developing time resolved cryo-EM to trap the molecular motor myosin in a series of different states to provide a step change in our understanding
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patient safety. Our methods include: systematic literature reviews; qualitative, quantitative and mixed methods studies; complex intervention development; evaluation of interventions, including trials. We
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this role, in collaboration with BorealBlaze Norwegian and other international partners, you will apply machine learning methods to develop a statistical model of natural and anthropogenic controls on boreal
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. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also available. And much
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halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also available
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? Do you want to develop your career in one of the UK’s leading research-intensive Universities? We are looking for an enthusiastic and agile post-doctoral Research Fellow to work on the Healthy Low