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Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after
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appraisal, to ensure that design choices do not undermine the sustainability imperatives driving the transition to green-fuel propulsion in the first place. Research Aims This PhD programme addresses
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our Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme
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Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career
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of experimental techniques is preferred but not mandatory Basic programming skills in any language Strong written and verbal communication skills To apply, please contact the main supervisor, Dr Kuppuraj
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needed Essential Criteria Undergraduate or Master’s degree in Economics or another quantitative discipline, to be completed or close to completion by post start date. Advanced programming skills in R and
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requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported for three years and include full Home or International
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of the production systems and supply chains for offshore wind industry. Apply quantitative methodologies, such as simulation and analytical modelling, to develop decision support for design and plan of cost-effective
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD
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support: Assist with prototyping and evaluation of multi-agent workflows (e.g., information retrieval, semantic search, recommendation logic, human-in-the-loop processes). Programming and implementation