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Field
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authority-led public health interventions. PHIRST Fusion is a collaboration between the Universities of Glasgow, Northumbria, Newcastle, Sheffield, Edinburgh, Queens University Belfast and Glasgow Caledonian
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The 6G National Research Programme is at the forefront of pioneering research and development in the field of 6G technologies. As part of the Communications Hub for Empowering Distributed Cloud
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. The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring PhD students. Research Responsibilities As a faculty member of a research-oriented university, the
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applications for a Research Fellow to join a BBSRC-funded project exploring mechanosensing and flight in insects. This exciting role is based in the Comparative Biomechanics Group at the University of Leeds
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning, epidemiology
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that influence global ocean mixing, heat and nutrient distribution, and climate dynamics. Despite their importance, these currents remain poorly understood due to their intermediate scale and intermittent nature
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integration Ideal candidates will have: Practical experience with machine learning model development and deployment Knowledge of IoT platforms, cloud services, and distributed systems Understanding of user
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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have a PhD in Computer Science or a closely related discipline, or equivalent industry experience. Expertise in one or more areas of Computer Science and it’s applications is essential. These areas
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
illnesses. The post holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning