600 parallel-and-distributed-computing-phd positions at University of Sheffield in Uk
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PhD in Computational Fracture Mechanics: Methods, Programming and Simulation School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
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Particle size distribution in flue gases for carbon capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Kristian Groom
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Aryan
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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Perceptual bias and the evolution of organism communication signals School of Biosciences PhD Research Project Directly Funded UK Students Dr Chris Cooney, Prof Gavin Thomas, Dr Julien Renoult
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distribute liquid helium and other cryogens as required. Manage the billing and financial reporting of the Helium Liquefier Facility. To repair cryogenic equipment and advise customers on the safe use
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particulate materials Design and help instrument sensors based on these models to measure particle properties, such as the particle size distribution. Balancing experimental needs, such as bandwidth
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Overview We have an exciting opportunity for a motivated researcher educated to PhD level (or close to completion, or with equivalent experience) to contribute to the development of a system based