101 engineering-computation "https:" "https:" "https:" positions at University of Sheffield
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field. This approach is related to data assimilation, allowing for better prediction, control, and optimisation of turbulent systems in engineering, energy, and environmental applications
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Engineering, Computer Science or a related discipline (or close to completion/equivalent relevant experience). Essential Application Relevant postgraduate research or industrial experience in Electronic
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apply. Criteria Essential or desirable Stage(s) assessed at A first degree in Electronic Engineering, Computer Science, related discipline or equivalent industrial experience. (or have equivalent relevant
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the Booster Neutrino Beamline at Fermilab, USA. Each detector in the SBN programme utilises the liquid argon time projection chamber (LArTPC) technology. The main goal of the SBN programme is to address a
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Masters, or a Distinction at Masters level with any undergraduate degree (or international equivalents) in Computer Science, Engineering, Physics, or Mathematics and Statistics, we would like to hear from
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engineering, signal processing, electrical engineering or a related subject. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd
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years stipend and tuition fees at the Home status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (http
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Distributed, robust and adaptive model predictive control (MPC) School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline: Applications
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Design and Synthesis of Next-Generation High-Performance Energetic Materials School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Dr Bradley
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Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof