14 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" PhD scholarships at The University of Manchester
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Department: Chemical Engineering Title: The mitochondrion as an engineering target for mammalian cell factories Application deadline: 24/07/2026 Research theme: Biotechnology How to apply: https
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How to apply: https://uom.link/pgr-apply-2425 This 3.5 -year PhD studentship is open to Home (UK applicants). The successful candidate will receive an annual tax-free stipend set at the UKRI rate
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Application deadline: 31/08/2026 Research theme: Mettalurgy How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) students. The successful
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Application deadline: 31/07/2026 Research theme: Laser Physics How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees
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an enthusiastic PhD candidate to help enable the circular economy for plastics within the automotive industry. Working with industry co-sponsor Artifex (https://www.artifexinteriorsystems.com ) and based in
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decarbonization of existing maintenance and decommissioning of assets. Programme structure (1+3)* Year 1 (Taught component): All students spend the first year at The University of Manchester undertaking taught MSc
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(wind, solar, geothermal, tidal, hydrogen) and nuclear (fission and fusion), and to support the decarbonization of existing maintenance and decommissioning of assets. Programme structure (1+3)* Year 1
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also researched by the recently commenced multi-million MOSFET (The Maturing Optimised Solutions for Aerospace Technology) research programme lead by RR in collaboration with UoM and an electrical
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programme as part of BioProcess, the Biocatalysis and Protein Engineering Centre for Sustainable Synthesis (bioprocess-idla.ac.uk), which has strong partnerships with the chemical industry. They will thus
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master’s (or international equivalent) in a relevant science, mathematics or engineering related discipline. Demonstrated excellence in fluid mechanics, machine learning, or both. Experience in programming