124 parallel-computing-numerical-methods positions at University of Bristol in United Kingdom
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Join our team as a Research Associate for the prestigious ESPRC-funded TORUS Programme Grant. This is an exciting opportunity be at the forefront of ground-breaking research that aims
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methods for on-sensor computer vision. Specifically, the job involves developing algorithms for embedded systems that are designed to produce sensing and computation on the image plane, and on understanding
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of Chemistry, and to support pedagogical innovation across the undergraduate curriculum by developing and implementing effective teaching, learning and assessment methods. You will be involved in a range of
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We seek an exceptional academic to join our dynamic School of Electrical, Electronic and Mechanical Engineering as a Lecturer / Senior Lecturer in Edge Computing and the Internet of Things (IoT
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EPSRC funded Quantum Information Science and Technologies Centre for Doctoral Training (QIST CDT). The appointee will contribute to the delivery of the CDT programme and support the large postgraduate
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development and by pursing translational research opportunities with innovation potential. Programme Managers help identify future trends and opportunities from government, industry and elsewhere - and work
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excellent experience of simulation methods, data analysis and advanced computing, and the opportunity to work with high performance computing and machine learning. Contract type: Open ended with fixed funding
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level of computational expertise is essential. Familiarity with Bayesian methods and/or atmospheric science is desirable. Excellent communication and teamworking skills are essential. The intention is to
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arrays. Additionally, a high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You should have a relevant
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This role is an exciting opportunity for researchers who are keen to use mathematical and computational methods to solve real-world problems in materials science and engineering. The focus