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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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. This would include those with experience in economics/econometrics seeking to explore epidemiology and policy analysis, those with statistical skills in epidemiology wishing to develop skills in economics and
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sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms
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We are seeking a highly motivated PhD student with a strong scientific background and a desire to develop interdisciplinary research skills to join a cutting-edge project at the intersection
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reducing the environmental impacts of computational science. The tools and frameworks developed and maintained by the group are used internationally and include the popular Green Algorithms online calculator
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simulation study of light matter interaction, digital twin enabled process development and life cycle assessment will be researched. Opens: Immediately Deadline: 08/08/2025. Duration: 36 months Funding: Funded
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Funding Source: Warwick Industrial Fellowship (WIF) Sponsor Company: Thomas Swan & Co Ltd Start Date: 1/10/2025 Project Overview The project focuses on the development of sustainable chemistries
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full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 3.5 years full-time or 7 years part-time. Continuation
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use +3.5 - covering the full PhD Politics programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 3.5 years full-time or 7 years part
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins