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quality modelling approaches to analyse the flow interactions between sewer discharge of surface runoff, as well as the dynamics of pollutants and pathogen propagations associated with water movements. The
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modelling and computer simulation to study the earliest stages of embryogenesis in mammals. This full-time post in the group of Dr David Richards at the Living Systems Institute (http://projects.exeter.ac.uk
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. You will conduct the research activities into the computational fluid dynamics simulation and optimisation of vortex reactors. You will develop physical and numerical models for the three-dimensional
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of fungal 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
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the use of mathematical modelling of infectious diseases. The post-holder will work closely with partners within the Global Polio Eradication Initiative to ensure that research is focused towards supporting
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: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
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Internal Number: 6415021 Postdoctoral Fellow, Bioinformatics, Brain Tumor Drug Discovery and Development Program University of California Los Angeles Requisition Number: JPF10295 The Brain Tumor Drug
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of fungal 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
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interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights. Role Summary Lead data
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and