1,073 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"J" PhD positions
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closely related area. Experience with computational fluid dynamics, ideally DNS/LES, and confidence working with large‑scale simulations. Solid programming skills in languages commonly used for scientific
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for admission to the faculty's Doctoral Programme Basic knowledge within statistics and quantitative research methods Excellent written and oral English language skills The appointment is to be made in accordance
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benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions
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reduce obesity and diet-related disease. As part of a large, funded research programme we have an excellent opportunity to appoint a motivated and engaged PhD student to develop their knowledge and
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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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and transport systems, within the ELLIS network. The project is fully funded through the Novo Nordisk Foundation Data Science Distinguished Investigator programme. You will be based in the Intelligent
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covers fees and stipend for a home (UK) student with funding provided by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Options exist for PhD and Master + PhD routes
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report on your progress regularly. You will participate in the doctoral study programme at the Antwerp Doctoral School to support your PhD pathway. You will present the findings of your PhD research
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Analysis: Experience with programming (for example Python/Matlab) and image analysis is highly emphasized. Such experience should be documented. Scientific Curiosity: You are eager to bridge the gap between
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part of the National Growth Fund programme “Ombion-CPBT”, which is a national centre for valorizing and disseminating animal-free innovations and expertise in the biomedical domain. The PhD project