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School of Engineering invites applications for Doctoral Researcher in Sustainable Renewable Energy Engineering, Modeling and Optimization Department of Energy and Mechanical Engineering is a community of
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preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead studies on cytotoxic T
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for precision targeting of AML, an aggressive leukaemia with poor survival outcomes. Building on strong preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead studies on cytotoxic T
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) and supply chain sustainability modelling. The successful candidate will work with Prof Lenny Koh (Deputy Director of IGNITE) to deliver C3.2 (Supply chain optimisation and LCA). C3.2 will build from
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Allen and West Laboratories has uncovered an altered metabolic response to hypoxia in C9orf72 patient derived models and in Drosophila Melanogaster C9orf72 DPR models of ALS. However, the mechanisms
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and productivity. You will contribute to the macroeconomic aspect of our project, modelling the link between house prices and productivity from both an empirical and a theoretical point of view
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develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung infection. As part of this work, the postholder will
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. As an essential part of the project team, you will work on: Designing and testing novel metamaterial unit cells tailored for transformer enclosures. Numerical modelling using advanced FEM/BEM