216 parallel-and-distributed-computing-"Meta"-"Meta" positions at University of Cambridge in United Kingdom
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enable the full exploitation of next-generation observations using Exascale computing, i.e. leading the research in solar/stellar physics for many years to come. We are seeking a highly motivated Research
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. The work will entail electrophysiological analysis, structural biology approaches such as cryo electron microscopy, computational modelling, cell biology and biochemistry. The role holder will therefore need
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support to one of the research groups within the Computational and Biological Learning Lab of the Information Engineering Division. Educated to HND/HNC level or equivalent level of experience, you will be
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We seek an energetic and enthusiastic individual to act as Group Administrator to the Computational and Biological Learning Group (CBL). CBL is housed within the Information Engineering Division
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a materials engineering perspective: energy systems, advanced manufacturing and materials, computational and data-driven engineering, and robotics. The Department of Engineering is one of the few
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will be addressed using a series of behavioural and electro-physiological experiments with Cochlear Implant users, as well as comparing the outcomes with predictions from existing computational models
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¿ Computational modelling of biological systems ¿ Ability to work as part of a multi-disciplinary team ¿ Experience working with co-culture 3D models, specifically the gut/ intestine ¿ A self-starter, with a
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healthcare environments. Candidates must have completed, or be about to complete a PhD in Architecture, Design Computing, Spatial Cognition, Healthcare Design, HCI or a related discipline, and have a track
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programme involves development of high-throughput experimental capability (at Imperial College London). Our group is supporting the experimental team at Imperial College London with development of intelligent
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek