321 parallel-and-distributed-computing-"UNIS"-"Meta" positions at University of Nottingham
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area Veterinary Medicine & Science Location Sutton
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the first 4 years of the course. Additionally, you will assist in the further development the School’s programme of postgraduate training in clinical pathology. You will have a veterinary degree registrable
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Area: Computer Science, AI, Computer Vision, Food and nutrition Location: Nottingham, Jubilee campus/Sutton Bonington Campus. Placement at PepsiCo’s R&D centre (Leicester). Closing Date: 17th
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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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Neurosciences. As part of an MRC programme grant, the post holder will assist and support the Neuroinformatics research team (https://www.dynamic-connectome.org/ ), local investigators of the programme grant
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The School of Computer Science are seeking an organised, creative and enthusiastic team member to join our
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. The successful candidate will be responsible for processing and recording deliveries, monitor stock levels, and distributing goods and equipment across the school. The role also includes operating departmental
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maintaining an internationally excellent research programme that will have a demonstrable impact on the care and wellbeing of patients. The post provides an excellent opportunity to combine clinical work
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm