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on developing latency reversing agents as a first step to eradicate the latent reservoir and animal models are being studied to understand these dynamics. This project proposes a novel pipeline of ideas
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The transition from the traditional relative perspective in engineering design and product development (“Is design A better than design B?”) towards an absolute sustainability perspective (“Is the
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: Optimize network design: Develop a robust, scalable thermodynamic–hydraulic framework to size and configure prosumer-based heating and cooling networks under conditions of price volatility, CO2 taxation
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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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ready to challenge and develop yourself in a cross-sector collaboration with infrastructure providers and societal partners? Then the PhD position on ’Shared Pathways for Cross-Sectoral Long-Term
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of hydrological models to reliably forecast extreme hydrological events. However, these data sets must initially undergo interpolation before integration into hydrological models. Current research is developing
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knowledge through your experiments and analyses, hone your critical thinking skills and develop into an independent scientist. You will carefully document your findings and share them with others, for example
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to ~500 Wh/kg, while cutting manufacturing costs. Through advanced polymer design, scalable synthesis, and precision coating techniques, you will develop robust, submicron PIM-based membranes tailored
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. The overarching aim of our department research is to contribute to a new, biology-based taxonomy of psychiatric disease that will allow to develop treatments and preventive strategies targeted at the underlying
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Applications are invited for a Senior Researcher in Decision Analytic Modelling, working with Associate Professors Apostolos Tsiachristas and Brian Nicholson, on a research programme developing and