572 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO" PhD positions in United Kingdom
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physics proposal for the extension of the Standard Model. The target theory and observables will be identified together with the candidate, depending on their specific skill sets and research interests, and
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master’s (or international equivalent) in a relevant science or engineering related discipline. To apply please contact the main supervisor, Dr Carbone - paola.carbone@manchester.ac.uk . Please include
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Are you ready to push the boundaries of engineering innovation and accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the School of Mechanical
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minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (e.g. Applied Mathematics, Physics, Mechanical or Chemical Engineering). Enthusiasm for research
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to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Essential: • Degree in engineering, physical sciences
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their work at major international conferences. Applicants should have a 1st or high 2:1 honours degree (or international equivalent) in mathematics, physics, engineering, computer science or other related
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backgrounds in engineering, applied mathematics, physics, computer science, or data science, and can be tailored to your interests, whether you prefer theory, modelling, or applied research. You will analyse
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Funding provider: Sony CSL - Paris Project start date:Flexible before October 2026 Supervisors (*lead): Aligned programme of study: PhD in Network Science About the Complex Connections Lab
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of Computer Science Postgraduate Research Administration Team at: ps-cs-pgr@exmail.nottingham.ac.uk You may also contact prospective supervisors directly.
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for translational biocatalysis, addressing critical needs in the development of sustainable biotechnologies. The programme will equip PhD students with advanced expertise in enzyme science, machine learning, enzyme