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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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. digestate, a by-product of anaerobic digestion) using hydrothermal processing to reduce the energy needed for drying compared to conventional gasification. The research focuses on reactor design optimisation
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macrophages with next-generation armored CARs. Lab website: www.hutterlab.ch Your position Design, develop, and test next-generation armored CAR (Chimeric Antigen Receptor) constructs. Perform genetic
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energy needed for drying compared to conventional gasification. The research focuses on reactor design optimisation, scalability, investigating the effect of operating conditions, and a techno-economic
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disturbance content that seeds transition and turbulent closure for mean quantities, and (iii) optimise passive control designs. The goal is breakthrough capability: turning limited data into actionable
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Geological Survey, Centre for Ecology and Hydrology, the Natural History Museum and Plymouth Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed
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separation from their social group during treatment and recovery). Collection management (such as species breeding programmes) may mean that individuals are moved between institutions and must integrate into a
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many populations even stopping to migrate altogether. To design effective conservation strategies for birds on the move, it is crucial to understand the drivers of changing migration patterns. Notably
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resilience. With only a small fraction of soil microbial functions currently understood, there is a clear need to design evidence-based, functionally coherent microbial consortia to support sustainable