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Research Fellow in Cloud Modelling Salary: Grade 7 (£41,064 – £48,822p.a. depending on experience) This role will be based on the university campus, with scope for it to be undertaken in a hybrid
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We are seeking a Research Fellow to develop AI-enabled cloud analytics and BIM-based Digital Twin systems for real-time geometry monitoring and control in bridge and viaduct construction. Key
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Are you keen to support innovation of UK weather forecasting? Do you have an established background in cloud physics research? Would you like to further your career in a world-leading atmospheric
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expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge
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papers in peer-reviewed Journals are key to the role. You will be responsible for: Design and implement full stack battery intelligence platforms, including: Cloud infrastructure (AWS/Azure/GCP), Backend
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AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection
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to key, but poorly understood, physical processes and parameterisations. At Exeter, the work will focus on understanding how processes such as clouds and convection, ocean heat transport, and continental
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subsequent atmospheric dispersion as well as the consequence of potential ignition of the resulting cloud. The in-house modified OpenFOAM code will be used. Some further development may be required
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testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and ensure compliance with
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maintain modelling, data management and cloud-based exchange systems to enable effective collaboration and delivery across the IGNITE Hub. Contribute to writing bids for research funding Collect, analyse