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:32984792 [Lancet Digital Health 2020]), and network medicine (PMIDs:35572351 [Nature Aging 2021], 31375661, 30002366 and 30867426 [Nature Communications 2018, 2019a and 2019b]) to address challenging
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project “Fern seed found? Testing a new hypothesis for the origin of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing
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implementation Knowledge of networking protocols and architectures PhD or equivalent R&D experience in computer science, networks or communications, and/or experience with at least one of the following areas
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related to science communication and storytelling. Your new skills will support co-creating one or more of the stories created in the project. The role is based in Geosolutions Leeds, an interdisciplinary
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for detecting and identifying specific signals of interest. Create reference datasets of spectrum usage for the wider community to use as benchmarks for evaluating spectrum sharing techniques. Emulate wireless
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Technology and Edge AI Solutions to take a leading role in COG-MHEAR under the direction of Professor Amir Hussain , developing Edge based audio-visual speech enhancement and separation technologies in real
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interested in a researcher who is open to building on or developing new skills and techniques related to science communication and storytelling. Your new skills will support co-creating one or more of the
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(www.c4ts.qmul.ac.uk ) provides the framework for trauma sciences research that we believe will lead to a step-change in outcomes for trauma patients. We are also a member of the International Trauma Research Network
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community mental health systems in Coastal and Rural (CAR) areas by assessing the impact of strategies (such as the Community Mental Health Framework), implemented in CAR regions on improving
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research proposals; Monitor and keep up to date the latest technology and trend in related areas; Organize, and assist technical workshops, networking events and conferences (local and overseas