103 parallel-computing-numerical-methods-"Simons-Foundation" positions at UNIVERSITY OF SURREY
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The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents...
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individually, make a real difference. The role We are seeking a Surrey Leaders Programme Manager to join our Advancement team and play a pivotal role in shaping the future of the University’s alumni community
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individually, make a real difference. The role A great opportunity for a Programme Administrator to join the University of Surrey within Academic Registry. The role involves providing professional administrative
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process. Our innovative programme aims to produce a new type of doctor - excellent and holistic clinicians who can drive change, delivering integrated and technologically advanced healthcare
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30 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 4 Sep
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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
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The University of Surrey is seeking an enthusiastic Project Coordinator to support the delivery of a new doctoral training programme in Infection Biosciences, funded by a BBSRC Doctoral Landscape
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The School of Computer Science and Electronic Engineering is seeking to recruit a full-time Senior Lecturer in Computer Science (teaching track) with a focus on development and implementation of AI
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partners. The post holder will be responsible for developing and implementing mechanistic models, primarily using the Discrete Element Method (DEM), to analyse and predict pharmaceutical tablet
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of the physical world, from shops to museums, cars to classrooms. Despite significant progress in computer vision, long-standing fundamental challenges adversely impact on audio technologies, preventing immersion