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across records. Develop a cloud-based verification platform for digital data collection and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches
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Engineering, Computer Science, or a related field. Proven experience working with wireless sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision
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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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, or equivalent PPLs. • Strong track record of publications in peer-reviewed journals commensurate with career stage. • Proficiency in Python and/or R; familiarity with high-performance and cloud computing
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building energy models. The role will focus on participating in the development and implementation strategy of a cloud AI-based framework to perform business valuation. Key Responsibilities: Develop new CFD
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investigate and develop IoT network security mechanisms connected to the cloud in residential environments and intrusion detection methods in the context of embedded systems and IoT devices. The work will
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, such as atmospheric composition, and/or 2) Experience in forward models, which can take many different forms (e.g. climate, chemistry, cloud), as well as levels in complexity (e.g. 1D to 3D). However, we
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, ArcGIS Survey 123, etc. Experience with Adobe Creative Cloud products such as Indesign, Illustrator, and Photoshop Experience in 3-D modeling and Rendering software such as Sketchup, Rhinoceros, V-Ray, and
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packages. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud
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standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and