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We are inviting applications for a fully funded 3.5-year PhD Computer Science studentship at the University of Warwick, jointly supported by GlaxoSmithKline (GSK), to work on an ambitious project
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bioinformatician with a PhD or equivalent experience to join our dynamic research team at the Life Arc Centre for Rare Mitochondrial Diseases https://www.lifearc.org/project/lifearc-translational-centres-for-rare
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As a PhD student within the Economics Division, you will have access to a broad programme of research training opportunities. These include advanced methods courses, data skills workshops, and an
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plan in collaboration with PhD supervisors Achieve ethical and governance approvals to undertake research Achieve publication of research in appropriate peer reviewed journals Present research
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FTE, 30 hours per week minimum) and is fixed term up to 31/03/2027. About You You will have extensive expertise in statistics, likely including a PhD, and experience and interest in working in
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engineering, and with ability to develop multi-disciplinary perspectives relating to the PhD topic. Applicants must have very good knowledge and experience of relevant quantitative/statistical analysis methods
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techniques that are useful for the modelling of many real-life systems. These include the development and analysis of stochastic models, computer simulations, differential equations, statistical inference
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technological change. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience on high-impact questions in environmental economics and innovation. Key
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an opportunity to network and get feedback on their work. Student profile: Some experience in data analysis would be very helpful, as would a working familiarity with a programming language (e.g. Python, R
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complete application for your chosen PhD programme by the deadline for your department (below). Section 9 of the application asks for your funding intentions. In this section, you should detail fully all