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pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology techniques
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device fabrication and modelling or related areas. You will focus on a range of liquid crystal-based technologies and work on the optics, design, fabrication, optimisation, modelling and characterisation
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team to lead the wave and hydrodynamic modelling to study the impact of mangroves and seagrass on coastal dynamics and sediment transportation. As a specialist in wave modelling software, the successful
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device fabrication and modelling or related areas. You will focus on a range of liquid crystal-based technologies and work on the optics, design, fabrication, optimisation, modelling and characterisation
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Computational Chemistry to develop accurate models of time-resolved X-ray photoelectron spectroscopy (TRXPS) experiments of gas phase molecules. The successful candidate will be based in Southampton and work in
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. The project will involve experiments at Free Electron Laser Facilities and subsequent analysis and modeling of the data. The successful applicant will join a vibrant research group that uses a wide variety of
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methods for use across developmental biology and more widely. Current activity involves work on the following aspects: development of new techniques for assessing and modelling the states and dynamics
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
variety of research methods, such as scientific experimentation, literature reviews. Analyse and interpret data Contribute to developing new models, techniques and methods Disseminating research results
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systems and ultimately aims to broaden their uptake for urban energy supply. Working as part of a multi-disciplinary project team, featuring engineers, hydrologists, numerical modellers and policy liaisons
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challenges from low carbon shipping and sustainable fuels to solar power technologies and advanced brain models. Learn more at https://mecheng.ucl.ac.uk . Within this dynamic environment, the Moazen Lab is