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open, reproducible science. This exciting and challenging project will be jointly supervised by Prof Rossiter (Soft Robotics) and Prof Kent (Psychology) but will offer many networking opportunities and
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comprehensive analysis of the extensive Pulse dataset, uncovering latent patterns and taxonomies that define building leakage characteristics. Surrogate Model Development: You will develop data-driven surrogate
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microbiomes, host transcriptomics, and metabolomics to define OAB phenotypes using samples from large human cohort studies. · Community Engagement and Advocacy: Additional efforts include promoting evidence
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: The occurrence and distribution of species within and around solar parks, identifying key “winners and losers” in terms of biodiversity. How species interactions, including plant-pollinator networks
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that define building leakage characteristics. Surrogate Model Development: You will develop data-driven surrogate models capable of estimating air leakage in unseen building types. These models will be trained
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, management, quantitative analysis Lead in publication outputs in appropriate academic and industry fora The role-holder will also have management, liaison and networking responsibilities. The skills
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contribution will have a lasting impact. As a member of our vibrant community of 22,000 students and 8,000 staff, you will collaborate with passionate minds across nine London campuses and a global network. This
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attend international and national conferences to present your work and network with other scientists from across the globe. At the end of your PhD, you will be an accomplished and highly-capable scientist
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, management, quantitative analysis Lead in publication outputs in appropriate academic and industry fora. The role-holder will also have management, liaison and networking responsibilities. The skills
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will then embark on coming up with a suitable design for a generic economic model and construct the model using their software of choice. This new generic model can then be demonstrated by using data