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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat
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on other aspects of the mechanical and multiphysics behavior of heterogeneous materials. Where to apply Website https://www.academictransfer.com/en/jobs/356990/phd-on-ml-accelerated-simulatio… Requirements
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SAF combustion. Recent advances have demonstrated that machine learning techniques, particularly neural networks, can significantly accelerate chemical kinetics computations. Nevertheless, most of
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accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one of the world's largest research projects, is under construction through international cooperation. GSI and FAIR
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description: The GSI Helmholtzzentrum für Schwerionenforschung in Darmstadt operates one of the leading particle accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one
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PhD Studentship in Medicinal Chemistry: High-throughput chemistry and direct-to-biology testing to accelerate drug discovery Award Summary 100% fees covered, and a minimum tax-free annual living
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Overview The project aims to develop a new approach to drug discovery by developing new methods for synthesising and testing potential drug candidates in high-throughput. One of the barriers to the discovery of new medicines is the time taken to design, synthesise and test compounds through...
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their pandemic potential and classification as bioweapons. This project aims to develop a machine learning-accelerated NMR platform for the discovery of high-affinity inhibitors targeting viral RNAPs. Building
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devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in