711 associate-professor-computer-science-"https:" "https:" "https:" PhD positions in United Kingdom
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. The Materials for eXtremes (M4X) research group (https://more.bham.ac.uk/M4X/ ) investigates new alloys for extreme environments from fusion & fission reactors, to aerospace gas turbines and concentrated solar
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and design tools for products using these materials. Supervisors: The principal supervisor is Professor Emile S Greenhalgh (Aeronautics) whilst the co-supervisor is Professor Milo Shaffer (Materials
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Project summary: This PhD will examine the role of educational attainment and educational pathways in mitigating the association between social class background and early labour market outcomes in
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The project: The High Performance Computing (HPC) services of today provide the computational density to perform groundbreaking science. These services facilitate the distribution of a problem space
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group, the PhD programme will be associated with the Bristol Centre for Supercomputing (BriCS), home to Isambard-AI. BriCS is delivering over 300 million pounds of AI compute, and a successful applicant
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for Associate level (or nearing completion for Assistant level) in relevant discipline: e.g. Photonics, Materials, Semiconductor Technology Newcastle University is a global University where everyone is treated
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) programme. The post holder will work closely with Professor Ronita Bardhan and contribute to a high-impact, interdisciplinary research programme focused on advancing evidence-based urban design for population
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Neuroscience. You may also be considered for this position if you have professional qualifications or experience in engineering. Candidates should demonstrate willingness to build and program their experimental
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or high 2.1 Master’s degree (or equivalent) in chemistry. A background in synthetic chemistry would be advantageous. References: 1) Chem. Soc. Rev. 2024, 53, 10380. https://doi.org/10.1039/D4CS00761A 2
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) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project aims at integrating data-driven optimisation and design of experiments techniques with model-based