415 algorithm-development-"The-University-of-Edinburgh" PhD positions in United Kingdom
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- AALTO UNIVERSITY
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- VIN UNIVERSITY
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Field
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-year survival rates remain at 65% and 58%, respectively, highlighting challenges in developing an effective treatment strategy. Within our supportive and friendly team, you will learn how to design and
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their properties, as well as develop ways to manipulate and advance the nano-assembly processes. You would also be involved in scale-up on roll-to-roll pre-pilot kit, to explore applications for these advanced
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Senior Researcher to take the lead in the development of statistical and
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at Aalto University’s Department of Architecture. In this position you will have a chance to make an impact by analysing and developing solutions for effectively capturing carbon into the built
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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes
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of how alternative land management practices impact greenhouse-gas fluxes through the development and application of sophisticated modelling tools. The work will involve model development on the Cambridge
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, government, and wider society. In the REF2021 review of UK university research, 88% of Cranfield’s research was rated as ‘world-leading’ or ‘internationally excellent’. This project will develop a robust
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engines). VRIVEN develops concepts for next-generation methanol-fuelled ships whereas HySOME investigates hydrogen-fuelled ship operation. Both projects employ simulation tools to derive insights
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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By