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the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical
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. The candidate will use discrete adjoint libraries in OpenFOAM to improve turbulence modelling of environmental flows. There will also be opportunities to get involved in other projects in experimental fluid
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universities and over 30 industrial partners. At the University of Southampton, our team contributes expertise in reaction engineering and kinetic modelling for catalytic, photocatalytic, and sustainable
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decision modelling This is a full-time fixed-term position until 31 March 2027, and subject to funding an extension is anticipated. Applications for part-time will be considered, please indicate this in your
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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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. 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
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tailored for transformer enclosures. Numerical modelling using advanced FEM/BEM techniques to evaluate vibro-acoustic performance. Experimental field/laboratory testing of large-scale prototypes in real