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. Demonstrable writing capability and oral communication proficiency. How to Apply To apply for a PhD studentship, applications must be made directly to the University of Sheffield using the Postgraduate Online
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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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. Demonstrated experience in preparing scientific manuscripts for journals or conferences. How to Apply To apply for a PhD studentship, applications must be made directly to the University of Sheffield using
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experience in preparing scientific manuscripts for journals or conferences. How to Apply To apply for a PhD studentship, applications must be made directly to the University of Sheffield using the Postgraduate
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unintended consequences of circular economy practices using material flow analysis, life cycle assessment and machine learning methodologies. For instance, the project will evaluate whether producing low-cost
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quantitative image analysis tools, integrating machine learning approaches to visualise and quantify structural features within Shelterin bound telomeric DNA. These biophysical approaches will be supported by
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Deadline: 14 April 2024 Details We offer a PhD position working on next-generation computing framework for agroecosystems. Emerging AI paradigms, such as lifelong learning and knowledge-guided machine
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contribute to the metrology informatics activities of the EPSRC Future Metrology Spoke at the University of Sheffield. This short-term position is available for immediate start and ends on 30th August 2024
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: We are seeking a highly motivated PhD candidate to join our research project at the University of Sheffield, focusing on the development of intelligent vehicle safety strategies with a focus on brain
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PhD Scholarship: Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles
PhD candidate to join our research project at the University of Sheffield, focusing on the development of intelligent vehicle safety strategies with a focus on brain injury prediction. This project aims