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to explore exciting questions on the interface of population genetics and community ecology. It is increasingly clear that evolution can be rapid, with important traits changing within a few generations. But
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25th January 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in Modelling of Electrochemical Gas Evolution in
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). The main aim of this PhD project is to develop mathematical models relevant for processes at the anode of aluminium electrolysis cells, with emphasis on evolution of bubbles, including the so-called “anode
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an approachable and highly experienced research team. You will explore cutting-edge topics in specification-driven development, large language models, and AI-assisted software engineering. Your job As a PhD
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of Sciences. You will be part of an exciting research project aimed at understanding rapid evolution and adaptation in butterflies flying at high elevations. The goal of the PhD work is to infer climatic niche
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environment (environmental perspective). Research is conducted at various spatial scales. Research topics fall within broader thematic areas such as population and settlement development, regional socio
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sufficiently, or whether other options may be available. This project will seek to develop methods to rank models and guide interventions based on whether further optimisation of the solution is worthwhile
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about leveraging AI and digital tools for sustainability transitions and developing decision support systems to accelerate collective energy transition? Join our team to drive innovations that support
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PhD Position on Requirements Engineering and Spec-Driven Development Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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applications for a PhD studentship focused on developing and validating innovative origami-paper eDNA sensors with community scientists for the rapid detection of chemical and microbial contaminants in rivers