28 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" positions at The University of Manchester
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Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe (other) Reference Number 101226927 Is the Job related to staff position within a Research Infrastructure? No Offer
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biology, computational chemistry and analytical chemistry within a vibrant, multidisciplinary research environment. About the programme Join experts in industry and academia working to sustainably
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply
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Application deadline: 31/03/2026 Research theme: Biocatalysis and Protein Engineering Centre for Sustainable Synthesis – BioProcess How to apply: https://www.mib.manchester.ac.uk/research/centres
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provided with all necessary resources to do their research, including a laptop, access to our local distributed computing facilities, a dedicated training programme, and a supervisory team. Most students
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www.trostlab.org . What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave
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successful candidate will join the PhD programme of the Department of Mathematics at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship
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Application deadline: All year round Research theme: Environmental geochemistry How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD studentship is open to EU, UK, and US applicants. The
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-wzn23), this project will combine advanced synthetic strategies with reactivity studies, detailed physical characterization and computational studies to elucidate electronic structures. Together
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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