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EPSRC CASE Studentship. University of Sheffield and Syngenta Crop Protection Machine learning is increasingly used for decision making and molecular design in the pharmaceutical and crop protection
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computing (SC)? Are you fascinated by the emerging field of machine learning (ML)? Are you our next PhD-candidate in scientific machine learning or SciML (combining SC and ML)? Are you eager to work on the
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PhD Studentship in Computer Science: AI and Machine Learning Explainability Award Summary 100% Home fees covered and a minimum tax-free annual living allowance of £18,622 (2023-24 UKRI rate
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your application! We are looking for a PhD student in Machine Learning. Your work assignments The research focus for the advertised position is machine learning for forensic science. The project involves
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based on real load models together with privacy-preserving machine learning methods. The proposed methods will be demonstrated at Dansmästaren, a test bed for research on smart EV charging and energy
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Description In this project we will extract affordable potentials from expensive DFT results through machine learning (ML) to accelerate nanomaterial growth in MD simulations. Such interactomic potentials
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total. In your project, you will do research on and apply machine learning techniques to make a real-world impact in academia and at financial institutions. A potential research topic is the design of
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PhD Position in Machine Learning for Digital Fincance PhD Position in Machine Learning for Digital Fincance Published Deadline Location today 5 May Enschede Job description You will be a member of
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Vacancies PhD Position in Machine Learning for Digital Fincance Key takeaways You will be a member of the MSCA Industrial Doctoral Network on Digital Finance, a European Research and Training
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challenge hindering further progression is the lack of a high-throughput, automated, unbiased approach to analysing and characterising hydrides in 2D and 3D. The use of deep learning (DL) based algorithms