654 computational-physics "https:" "https:" "https:" "https:" "IFM" "IFM" PhD positions in United Kingdom
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to obtain) a 1st/2.1 or Master’s degree in Engineering, Physical Sciences, Life Sciences, Data Science, Mathematics, or a related field. Strong quantitative and programming skills are required. Interest in
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PhD Studentships to support doctoral research in the Arthur Scargill Archive at the University of Sheffield Faculty of Arts and Humanities 4 Year PhD Programme Funding Available UK Students View
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competitive process. (this will cover home tuition fees and UKRI stipend). The University actively supports equality, diversity and inclusion and encourages applications from all sections of society The Faculty
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the future of energy for homes in the UK. Aim You will have the opportunity develop an innovative EMS design solves existing challenges. This new architecture will reduce costs, minimise physical footprint
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-motivated candidate with a 1st or high 2:1 degree in Engineering or Physical Sciences or a related science discipline. Prior experience in thin-film deposition, microscopy, spectroscopy, electronics
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are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic qualifications. An example can be found here . A minimum 2:1 Honours degree
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high 2:1 in computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and
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for feedstock characterization. 1st or a 2:1 in a Chemical Engineering, Mechanical Engineering, Materials Engineering, Chemistry, Physics If you are interested in this project, please send your CV and cover
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. Patrick Degenaar Eligibility Criteria We are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic qualifications. An example
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, HetSys projects apply cutting‑edge computational and mathematical techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer