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The project team combines strengths in computational modelling, molecular simulations, experimental catalysis, and process design to achieve high-efficiency conversion of biomass into valuable
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unique abilities, experiences, and knowledge. To ensure a fair and transparent recruitment process, we strongly advise against relying on AI-generated content, as it may negatively impact your application
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, present at conferences, and gain experience in translating research into certified medical software. Applicants should have a strong background in machine learning, computer vision, and medical image
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broker to connect our researchers with policy makers and policy influencers, supporting and facilitating the process of knowledge exchange. We work daily with researchers right across the University
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analysis, often including ad hoc analysis to tight deadlines. You will lead on developing automated financial models and use financial analysis skills to improve reporting processes. Working with the Head of
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the Senior Department Administrator and will be part of a busy team ensuring the efficient running of departmental and School processes. The role requires collaboration and liaison with the Head/s of
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Institute, the UKs center for advanced materials science, giving access to leading materials science and engineering techniques. You will focus on powder processing, fabrication, characterisation and
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computer and home to the first Computer Science graduates. The Department offers one of the most sought-after subject combinations in the sector, supported by a broad range of modules and a vibrant student
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methods to address some of the most challenging problems in the field of mixture analysis. In many areas (e.g. chemical process development, quality control, food science, metabolomics) the majority
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Business. Nationality restrictions This funding is available to students from: Other eligibility criteria As determined by CONACyT. Application procedure Please see CONACyT website for details. Application