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Field
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aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
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datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly
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(MIGS) device ¿ the LIVTM - that biologically restores diseased trabecular meshwork function rather than simply bypassing it. Based on the main University of Liverpool campus, you will conduct laboratory
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knowledge with Master’s and PhD students. You will actively contribute your expertise to the acquisition of third-party funding and independently advance the "AAAging" project. The independent teaching of
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basic research in quantum sciences, aiming to expand the frontiers of knowledge and thus being the engine for future innovations. As a team, we understand the importance of a positive, inclusive, and
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knowledge exchange strategy. Contribute to the development and maintenance of the University’s local, national and international academic and community networks related to Centre-related research. Work
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knowledge and be able to manage your own academic research and associated activities. You will have excellent communications skills, including the ability to write for publication, present research
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minoritised groups (including refugees and people seeking asylum) to understand how community networks and social practices promote mental health in hostile contexts. You will also collaborate closely with
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minoritised groups (including refugees and people seeking asylum) to understand how community networks and social practices promote mental health in hostile contexts. You will also collaborate closely with
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theses Create reporting data and provide it for tracking progress Work together with our national and international collaborators Your network and team You will work in the QCD group as a Postdoctoral