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. We aim to combine Raman spectroscopy, a powerful label-free analytical technique that measures the molecular composition of tissue by using light to excite molecular vibrations, with imaging techniques
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boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system design? We
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implementation of analytical protocols (LCMS, ion analysis) The candidate will be part of a larger group working on different aspects of sonolysis challenges (~8 PGRs, led by Dr Bussemaker), alongside a well
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the University of Liverpool. As well as gaining a formal HE teaching qualification, you’ll learn key pedagogical skills for the academic job market, primarily through shadowing mentored classroom involvement
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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. Candidate profile: The ideal PhD candidate should have strong knowledge of quantum mechanics and mathematics, should have strong skills in analytical derivations and be willing to acquire computational skills
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specialization. Requirements We are looking for candidates who have: Solid analytical and mathematical abilities Experience with machine learning Experience with formal language theory or automata theory Strong
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machine learning e.g., GNNs, graph representation learning, hierarchical or probabilistic graph models Strong analytical and problem‑solving abilities, with enthusiasm for developing novel computational
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-good university degree in economics - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) - a high motivation and the
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, environmental economics, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics