17 web-programmer-developer-"PhD-Jobs.NET" Fellowship positions at University of Leeds
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through understanding and using the solid Earth, including as part of the University’s Climate Plan. You will research, use and build on existing methods to take data about the subsurface (seismic surveys
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interviews. Joining a well-supported interdisciplinary team of ten Centre researchers working on an exciting programme of high-profile research related to policing vulnerabilities, you will play a crucial role
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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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of immunotherapy and image-guided ablation. You will lead your own studies in this area, including methods development and clinical studies and contribute to the work of the research group as a whole. During your
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and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. • Personal Development: Access
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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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delivering actionable insights that can lead to real policy change. You will join a team with a strong history of applied research in the field of carbon accounting. The University of Leeds has developed a UK
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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