11 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"University-of-Southampton" Fellowship positions at University of Leeds
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you like to work as part of a large interdisciplinary team that brings together multiple research partners, policy makers, schools and industry stakeholders? The CHILI Hub (Child and adolescent Health
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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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, MUSICSTREAM: Music Culture in the Age of Streaming, funded by the European Research Council in the form of Horizon 2020 Advanced Research Grant, running from 2021 to 2026, you will develop and lead sub-projects
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developing own research trajectory within the project, resulting in publications and professional development. What we offer in return 26 days holiday plus approx.16 Bank Holidays/days that the University is
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Professor Eleanor Scott. Our main interests are in understanding how an adverse maternal environment impacts placental development, pregnancy outcomes and long-term health of the offspring
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accurate preoperative-to-intraoperative fusion challenges in surgery tackling vision ambiguity and occlusions and other surgical complications. The successful candidate will be responsible for developing
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a key member of the Real Robotics Lab, you will lead the development of innovative robotic platforms, systems, and software for real-world deployment. The Real Robotics Lab manages over £3 million in
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data, and you will appraise different approaches to properly testing hypotheses of subsurface processes. You will be responsible for leading the development of the approach, which could include
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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