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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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vitro cellular assays. Experience in using mouse disease models is also desirable. Scientific knowledge in the areas described above equivalent to PhD* level is required. The post-holder will possess
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for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful
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About MINDS Centre for Doctoral Training The Machine Intelligence for Nano-Electronic Devices and Systems (MINDS), is a very successful £5M Centre for Doctoral Training (CDT) funding around 50 PhD
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extend existing frameworks and systems such as SOLID, NSS, Dataswyft/HAT, gtk-gnutella, Gaian DB. You will be working with Professors Thanassis Tiropanis and Adriane Chapman (University of Southampton
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different sources Share data, software and models including experimental and simulation data Deploy close-to-data computation and containerisation of data and software Use AI to explore data Make the results
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create an inclusive work environment. Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title
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for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful
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for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful