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modelling of the impact of precipitation on mm wave fixed radio links from the high-end weather station installed at Durham University and measurement data. The successful candidate will be working in
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graphs, computer vision, and the digital humanities. The goal is to develop an innovative AI architecture that is flexible and extensible enough to serve as a knowledge representation framework for
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. The position will require a good working knowledge of radio interferometric observational techniques and/or a good understanding of optical spectroscopic survey data to understand galaxy formation and evolution
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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-scale around the Arctic, in addition to the behaviour of the region¿s marine terminating glaciers using optical, SAR, DEM and/or altimetry data. This work will help address research questions related
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, data-limited, and dynamically evolving environments. Applications include complex engineered systems such as intelligent communication networks, distributed computing platforms, and quantum-enhanced
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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. Specifically, the successful applicant will: Collect and process AI and numerical weather prediction (NWP) model data; Analyse and refine the current blending methodology within IMPROVER; Implement and evaluate
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Theoretical Physics. The successful candidate will work on the research project MakingAI: AI-Driven Integration of 'Messy' Data in Technical Art History, a close interdisciplinary collaboration between
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team. The focus of your work during the project will be a near 7-year record of time lapse camera data collected overlooking the marine terminating glacier Narsap Sermia, SW Greenland. This hourly