50 high-performance-computing-postdoc Fellowship research jobs at University of Nottingham
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estimation in complex models. We believe that talented and inclusive teams deliver the highest quality research and are seeking applications from high quality candidates who enhance the diversity of our
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to understand plant performance and climate feedback mechanisms in the Middle Jurassic. The project will use an experimental framework, to link plant morphology and chemistry to measurements of ecophysiological
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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to conduct comparisons of their economic, technical and environmental performance. It is expected that the work will lead to publication and/or contribute to the dissemination at national/international
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deliver research from fundamental to high TRL. The role holder will contribute to several projects by managing a growing research team while conducting their own investigations. As a senior research fellow
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high quality candidates who enhance the diversity of our existing team. The School is committed to creating opportunities for people traditionally under-represented in Mathematical Sciences and strives
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unit and individual and collaborative research in the area of Power Electronic, Machine and Control. The role holder will be expected to conduct and lead high-caliber, impactful research at the forefront
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Applications are invited for an experienced researcher to join the Food Water Waste Research Group, where you will lead key research unpacking the heat and mass transfer dynamics on a project using
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they may need to further develop (and for which we will provide support). The applicant will also be expected to work side-by-side with staff recruited in computer science and the wider academic team
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the technology on high impact case studies. The post will involve applying a range of spectroscopic techniques to new flow reactor designs developed at the University of Nottingham. The vision of the project is to