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Field
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Robotics and Artificial Intelligence for Net Zero is a partnership between three of the UK’s leading universities (The University of Manchester , University of Glasgow and University of Oxford ). Robotics
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the academic network working on ecodesign, an international research and training initiative (Horizon Europe MSCA-DN). The network aims to advance digital and ecodesign methodologies that enable scalable
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in real materials behave in complex ways, and turning measurements back into quantitative information about a material’s internal state is a notoriously difficult inverse problem. This is where AI can
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contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research
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biological data are increasingly common in modern biomedical research but remain challenging to analyse because of their scale, heterogeneity, and complex spatial and functional dependencies. Existing methods
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 28 days ago
therapeutic use. However, traditional medicinal chemistry often restricts itself to low structural complexity molecules that cover only a small portion of the theoretically accessible chemical space. This
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
fitted with sensors, we can also access precise physical measurements. Recent work in AI-for-Science has shown that neural-network-based meta-models can also assimilate measurements. Machine learning
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position – Swimming in Complex Environments The Institute for Advanced Simulation - Theoretical Physics of Living Matter (IAS-2
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patients develop a durable response. Many researchers are investing efforts to understand the complexity of anti-cancer immunity and develop diagnostic approaches that accurately predict therapy benefit and
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philosophy and/or social studies of science and technology. The position is part of the Horizon MSCA Doctoral Network “Towards sustainable computational fluid dynamics” coordinated by the Institut National