66 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" "Dr" positions at The University of Manchester
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under the supervision of Dr Mehrdad Vasheghani Farahani from Department of Chemical Engineering, with co-supervision by Professor Ian Kinloch from Department of Materials. The successful candidate will
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow
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facilities. The project will be supervised by Professor Chris Hardacre and Dr Marta Falkowska, with expertise spanning heterogeneous catalysis, reaction engineering, and neutron-based characterisation. Full
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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of
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to achieve at least a 2.1 honours degree (or equivalent) in Chemistry or a related discipline. To apply, please contact the main supervisor; Dr Tuna - floriana.tuna@manchester.ac.uk . Please include details
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industry. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Please contact
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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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supervised by Dr Ed Pickering and Prof Tim Burnett. Please contact ed.pickering@manchester.ac.uk if you wish to apply. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s
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in the groups of Dr Florence Hardy and Prof Anthony Green, University of Manchester, as part of the cross-institutional BioAID Doctoral Training Programme, including world-leading experts from Queen's
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workflows and contribute to building UK capability in an important advanced reactor area. The ideal candidate will enjoy computational modelling and quantitative problem‑solving, with a strong foundation in