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performance. What You’ll Do Advance Rheological Discovery: Formulate and characterise model suspensions across Newtonian, shear-thinning, and shear-thickening regimes using state-of-the-art rotational and high
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, delay thermal breakthrough, and enhance long-term thermal recovery from EGS. This position also aims to model, evaluate, and optimize innovative engineering solutions, including chemical, mechanical
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virtually Analyse and interpret data using qualitative analysis methods Contribute to developing new models, techniques and methods Apply knowledge in a way which develops new intellectual understanding
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and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Manage the
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focused on the development and application of recycled and waste-derived materials for advanced engineering systems. The role will emphasise computational modelling, simulation, and data-driven approaches
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RAFT Solutions, they will prepare, test and document formulations for evaluation in bovine mastitis models and partner-led studies. Activities include formulation preparation, sterility assessment
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/Anders Lien 9th September 2026 Languages English English English PhD Research Fellow in Machine Learning for Cognitive Neuroscience Apply for this job See advertisement About the position Position as PhD
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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integrates clinical, molecular, and real-world data with emerging computational approaches, including large language models, predictive modelling, and multi-omics data integration. The lab coordinates and
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This PhD project focuses on developing formal methods and knowledge representation techniques for the modelling and analysis of complex manufacturing and intralogistics systems, such as highly automated