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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical
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aspects leading to harmonised and standardised AMR surveillance approaches and alignment of AMR surveillance in the UK with methodologies proposed by the newly formed European AMR Surveillance Network in
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technical professional networks within and beyond the University of Liverpool. You will have excellent communication and interpersonal skills, with an evidenced ability to work successfully within
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the National Oceanography Centre; University of East Anglia; University of York; Institut Pierre-Simon Laplace (France); AXA Research Fund; and the international research network JETZON. You will also be part of
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networks. Unwanted artifacts can be introduced that influence multiple sense (e.g. vision, hearing and touch) that degrade the sense of immersion in the game. The primary focus of this research theme is to
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Team Science principles and practices. - Build and sustain relationships with other researchers in SCHOUSE, as well as establish new networks outside of SCHOUSE relevant to the project. This post is
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datasets and demonstrate familiarity with statistics software packages, such as Stata and Python. Knowledge about computer text analysis is also desirable. Excellent written communication skills are required
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resolver that is not secure. However, a third-party might be able to see what websites you visit or send you to an untrusted site. Learn more… Open Site in New Window It looks like your network security