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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
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candidate will work under the guidance of Dr. Kang Lan Tee in the Department of Chemical and Biological Engineering at the University of Sheffield. The research priority of the Tee Research Groups is
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reaction, process modelling and thermodynamics. Supervisors: Prof Mathieu Lucquiaud, Dr Abby Samson, Prof Jon Gibbins, Department of Mechanical Engineering, University of Sheffield Industrial supervisors
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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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Department of Mechanical Engineering PhD Research Project Self Funded Dr X Li Application Deadline: Applications accepted all year round Details We are excited to announce a new PhD opportunity in the areas
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environment for every PhD student. Why the University of Sheffield? Chemical and Biological Engineering at the University of Sheffield is multidisciplinary, collaborative and friendly. CBE strives to make
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: 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. Funding Notes This project is only for self funded students. View DetailsEmail
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Siouris Application Deadline: 31 May 2024 Details We are excited to offer a fully funded PhD opportunity in Mechanical Engineering at The University of Sheffield for someone with a passion for computational
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shaping a sustainable future and making a real difference in the chemical industry? An exciting doctoral opportunity awaits you at the intersection of cutting-edge technology and environmental
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Enhancing Flexibility and Resilience in Vaccine Supply Chains through Modelling and Optimisation Department of Chemical & Biological Engineering PhD Research Project Directly Funded Students