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to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
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algorithms will turn these high-resolution insights into searchable, verifiable databases, seeking to better inform assay decision making. Applicants should have (or expect to be awarded) a good UK Master's
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. There�s now a pressing need to understand how these symbionts affect development and fitness. This project tackles a key evolutionary ecology question: when are gut microbes are important for wildlife
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. References/further reading Czech B, et al. (2018). piRNA-Guided Genome Defense: From Biogenesis to Silencing. Annual Review of Genetics. Van Lopik J, et al. (2023). Unistrand piRNA clusters are an evolutionary