62 computer-science-intern "https:" "https:" "https:" "https:" "Central European University" PhD positions at The University of Manchester
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facilities at the University of Manchester. Opportunities to present work at national and international conferences. Excellent career prospects in nuclear energy, corrosion science, plant chemistry, and
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degree or a master’s (or international equivalent) in a relevant mathematical sciences or engineering related discipline. Background knowledge in continuum mechanics, theory of partial differential
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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 Willcox - darren.willcox@manchester.ac.uk . Please include
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Essential skills: Interest in fluid mechanics and biological flows Strong
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Application deadline: 31/03/2026 Research theme: Nuclear Materials Hoe to apply: https://uom.link/pgr-apply-2425 UK only This 4-year PhD project is fully funded by the Nuclear Decommissioning
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Application deadline: 28/02/2026 Research theme: Metal Organic Frameworks UK only This 3.5 year PhD project is fully funded by the Department of Chemistry (via EPSRC DLA). Home students, and EU
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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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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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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