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fundamental science to social science; policy-makers, regulatory bodies; industry, patients and citizens) and PhD candidate will also join these efforts. As a PhD candidate, you are committed to conducting
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flexibility. To fully unlock this potential, we need advanced tools that digitally replicate these networks and support optimized design and data-driven control strategies. As our PhD candidate, you will
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characterization and physical chemistry are sought. We are looking for enthusiastic and talented PhD candidates with Essential qualifications A high honours M.Sc. degree in Chemistry, Biology, Biomedical Sciences
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Master’s degree in Data Science, Artificial Intelligence, Computational Linguistics, Computer Science. Has excellent academic writing and oral skills in English. Has experience with large language models
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Applications are invited for a fully-funded four-year PhD position that will explore how rural youth (ages 18–30) use both online and offline methods to make sense of sustainable development and the
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Do you want to challenge prevailing narratives and contribute to new, ethical approaches to heritage management and knowledge production? This project presents an opportunity for a PhD candidate to
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is a talented engineer with a Master's degree and has
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across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is