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subject relevant to the proposed PhD project (usually chemical engineering or chemistry, but please get in touch if you think your qualification may be relevant). Enthusiasm for research, the ability
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2024 Sponsor A funded PhD studentship is available supported by the Doctoral Programme for Zero Emission Marine Technology. The studentship is supported by the Willis Endowment Fund, MarRIUK and Lloyd’s
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sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must
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Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply to Newcastle Portal Once registered select
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: · search for the ‘Course Title’ using the programme code: 8100F · Research Area: Chemistry · select PhD Chemistry (full time) as the programme of study You will then need to provide
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programme of study: · search for the ‘Course Title’ using the programme code: 8100F · Research Area: Chemistry · select PhD Chemistry (full time) as the programme of study You will then
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proposed PhD project (inc. any physical sciences, computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong
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Chemistry Centre of Excellence at University of York. You will also be taught a range of skills to complement, drive and strengthen your research: life-cycle analysis, techno-economic analysis, digital and
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Research Associate/ Research Assistant in Sustainable Sludge Valorisation Technology for Closed-Loop
17 Feb 2024 Job Information Organisation/Company Newcastle University Research Field Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Country United Kingdom
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-jet cleaning systems for flue gas treatment emissions control in waste-to-energy and biomass combustion plants. This project will explore Computational Fluid Dynamics (CFD) methodologies for optimising