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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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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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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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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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of Relevant scientific publications or relevant experience Solid technical background and experiences in communication network protocols Extensive knowledge on network management and control Previous
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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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Interest We welcome applications from all disciplines aligned with one of the strategic research priorities below: Clean Technologies: Net zero innovation, sustainable energy, circular economy Life Sciences
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At University of Hull, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity
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signals of interest. Create reference datasets of spectrum usage for the wider community to use as benchmarks for evaluating spectrum sharing techniques. Emulate wireless systems on software defined radio
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Are you passionate about supporting the development of resilient and well-connected communities? Do you have experience of doing engaged and participatory research with community organisations and