129 parallel-and-distributed-computing-"Multiple" positions at Loughborough University
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                as early indicators of anthropogenic and climate-driven change. However, limited understanding of the processes shaping species’ biogeographic distributions constrains our ability to predict ecological 
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                Research Academy Programme Coordinator Management and Specialist grade 6 from £35,608 to £46,049 per annum. Subject to annual pay award. Loughborough University is proud to launch the Loughborough 
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                Loughborough Sport Full time and open ended It’s an exciting time to join the Rugby programme. The Women’s programme continues in their partnership with Northampton Saints to build a top tier 
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                High-Performance Computing (HPC) Specialist Management and Specialist grade 6 from £35116 to £45413 per annum. Subject to annual pay award. This role also attracts a market supplement up to £17,000 
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                and able to juggle multiple priorities in a fast-moving environment. Key responsibilities include working collaboratively with our commercial, events & marketing teams, administration and management 
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                Finance Office Programme Manager – Enterprise Resource Planning (ERP) Fixed Term - 18 months An exciting opportunity has arisen to join Loughborough University as the Programme Manager for 
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                designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify 
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                under multiple environmental and socio-economic scenarios. You’ll develop sought-after skills in geospatial analysis, hydrodynamics, sediment transport, machine learning-assisted detection, and hydro 
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                by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large 
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                . road, power distribution). This project will develop new insights into what drives flooding and extreme wind to co-occur on timescales from (sub-)daily to seasonal. Our recent work suggests that