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Field
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partners in African countries where An. stephensi has been detected to co-develop and implement the analysis plan for their data sets on mosquito vector ecology, dynamics and behaviour. You will use results
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requirements for your preferred programme, in addition to those specified by RADMA. Nationality restrictions This funding is available to all nationalities. Other eligibility criteria This award is available
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. A policy internship at a relevant organisation is embedded into this programme. Number Of Awards One Start Date 5th January 2026 Award Duration 3.5 Years Application Closing Date 30th September 2025
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. We currently have partnerships with Ofcom and the Electoral Commission to conduct research and produce policy outputs on common areas of interest. We also plan to organize public events
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Gamesa Renewable Energy R&D team and also undertake an industry placement as part of the PhD programme. To apply, please contact the main supervisor, Dr Chen - lujia.chen@manchester.ac.uk . Please include
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Responsibilities Plan and conduct assigned research individually or jointly in accordance with the project deliverables, contributing to collaborative, community-led research and innovation projects aligned with
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programming and modelling frameworks (JuMP, Pyomo, Yalmip, GAMS, etc) Experience with unbalanced distribution system analysis tools (e.g., OpenDSS, Cyme, Gridlab-D, PowerModelsDistribution.jl) Experience
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should have or expect to achieve, at least a 2:1 (or equivalent) in any engineering degree programme, physics or mathematics. English language requirements: Applicants must meet the minimum
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to take part in field work. Have programming experience. If English is not your first language, you must have an IELTS score of 6.5 overall, with no less than 6.0 in each component. How to Apply Please
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted