363 parallel-and-distributed-computing positions at University of Sheffield in United Kingdom
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the ability to design a programme of research that will produce high quality outputs and have real impact in academia and beyond. As an equal opportunities employer, we particularly welcome applications from
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Overview Join our major new inter-disciplinary NERC-funded project on biodiversity impacts ofurban climate change adaptation at one of the UK’s leading Architecture and Landscape schools. This role offers an outstanding opportunity to generate high quality research and innovation, assessing...
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Modelling Neutrino Interactions for Next Generation Neutrino Experiments School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Patrick Stowell Application Deadline: Applications accepted all year round Details Neutrinos play a crucial role in our understanding of the...
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Simulation of particle physics experiments on graphical processing units School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof D Costanzo Application Deadline: Applications accepted all year round Details In this project you will combine state of the art software...
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programme grant on hybrid energy storage systems for grid-independent EV charging stations and there will be significant opportunities for the successful candidate to interact with the interdisciplinary team
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will work with the programme leader, academics and practice partners to support students and will attend meetings across the partnership locations. They will be expected to contribute towards development
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. withdrawals, change of programme, leave of absence). Assisting with other activities associated with the change of status process, e.g. reporting to the Student Loans Company, sending standard confirmation
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-01126-2 Purshouse RC, Deb K, Mansor MM, Mostaghim S, Wang, R. A review of hybrid evolutionary multiple criteria decision making methods. Proceedings of the 2014 IEEE Congress on Evolutionary Computation
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AMRC marketing teams Programme Administration & Support Be the point of contact for students and supervisors, and provide guidance and support on matters related to the PhD and EngD programmes Support
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Early-stage failure prediction in fusion materials using machine learning