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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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ACCE+ DLA Programme: Detecting rapid evolutionary responses to climate change in UK plants School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Luke Dunning, Prof C P
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ACCE+ DLA Programme: The impact of climate change on sexually selected traits and its consequences for evolutionary fitness School of Biosciences PhD Research Project Competition Funded Students
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group) EPSRC Centre for Doctoral Training in Sustainable Sound Futures PhD
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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Evolutionary genetics in a wild mammal population School of Biosciences PhD Research Project Self Funded Prof J Slate Application Deadline: Applications accepted all year round Details The project
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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for the development and evolutionary origin of flight feathers. Using cutting-edge techniques in embryology, comparative genomics, and mathematical modelling, we aim to understand how signalling pathways, such as Shh
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spore-forming pathogens is novel, and evolutionary theory suggests outcomes may be unpredictable, and could even make infections harder to treat. Understanding the evolutionary dynamics of C. difficile
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to