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this, the Fellow will implement a universal design methodology for such fluids of complex rheology, using a Machine Learning (ML) algorithm to be incorporated in a Computational Fluid Dynamics framework. Training
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, green business, decision support. Understanding of the net zero and/or circular economy. Research Excellence Proven strong track record of high-quality publications. Ability to work independently and
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. Experience of the development, validation, analysis and reporting of complex decision analytic cost effectiveness simulation models. Experience of the application of advanced value of information analysis
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years, beginning 1 January 2026. ABOUT THE TEAM The Social participation for Universal health Coverage: evidence-informed NetWorks Advancing Inclusion team (SUNWAI) is a newly established team to
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AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical
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network of GP practices across the UK. The post-holder will have a postgraduate degree, ideally a doctoral degree, in a relevant topic and experience developing complex statistical models for real data
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analysis techniques, including space syntax, isovist measures, and visual complexity assessments. The successful candidate will work closely with researchers at Cambridge and ETH Zurich to quantify spatial
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expected to contribute to the formulation and submission of research publications and research proposals as well as help manage and direct this complex and challenging project as opportunities allow. Main
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"Deprescribing Safety in Primary Care: developing a Community Pharmacy Safety Net and Feasibility Study," aims to establish patient and professional networks to support the development of a future feasibility
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: Otaniemi Campus, Espoo, Finland Join a cutting-edge research environment where architecture, landscape architecture, and artificial intelligence meet to address complex environmental challenges. About the