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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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good collaborative skills within a team. You may also have strong theoretical and programming background in AI, machine learning, mathematical modelling including physics-based models, and/or robot
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CO2 biomethanisation, coupled with a good knowledge of quantitative analytical techniques and bioreactor kinetic models. A hands-on approach and strong skills in experimental rig design and process
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level $108,156 p.a.) plus 17% super Pioneer research in modelling heterogeneous populations through collaboration with leading institutions to advance mathematical biology. Apply now for this exceptional
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leading research-intensive Universities? The University of Leeds is recruiting a postdoctoral researcher to characterise and model the evolution of glacial lakes across High Mountain Asia. We are looking
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CO2 biomethanisation, coupled with a good knowledge of quantitative analytical techniques and bioreactor kinetic models. A hands-on approach and strong skills in experimental rig design and process
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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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. 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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We are looking for a highly motivated researcher, whose expertise lies in statistics, to work with Prof Theodore Kypraios on a project at the forefront of infectious disease modelling. The role
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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning