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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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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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(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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applications Help ensure the smooth running of the network and key IT systems Support compliance with data protection and security policies You will also work closely with colleagues to understand user needs and
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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