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remote sensing of sediment plume distributions and correlation with infrastructure and hydroclimate conditions. Project partner TRG (The Turbidites Research Group) is a Joint Industry Project run for over
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, particularly in computer networks, operating systems, computer architecture and distributed systems Excellent programming, system building and measurement skills are required Be familiar with, and ideally worked
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Lead Supervisor’s full name & email address Professor Greg Marsden - G.R.Marsden@its.leeds.ac.uk Project summary One full scholarship is available at the Institute for Transport Studies in 2025/26
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Your Project Competing in summer events is a significant challenge, especially for Para athletes. For example, a spinal cord injury can significantly reduce effective thermoregulation, and the lower
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Project Overview This is an opportunity to conduct fully funded interdisciplinary research under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex
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To combat climate change and achieve the UK's target of Net Zero, it is expected that the integration of renewable energy sources (RESs) at the distribution/consumption level will keep increasing
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will be around 6th Oct 2025 Project Overview An enthusiastic researcher is invited to join a team to work on the EPSRC Industrial Doctoral Landscape Award project in collaboration with industrial
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harness unprecedented flexibility in the distributed control of the antennas and radio-frequency (RF) systems. We propose a unique approach for strengthening the resilience of sense constellations and
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science. Familiarity with topics such as nonparametric and high-dimensional statistics, differential privacy, distributed learning, semi-supervised learning, missing data and causal inference is desirable
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PhD Studentship: Open Radio Access Network (ORAN) for Distributed Edge Computing Orchestration in 6G
Overview: Self-funded PhD opportunity in 6G as part of major project hub, further funding possible subject to progress of project and student. Focus on native AI in 6G systems with experimental