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Field
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. Members of the team also teach on courses in cloud
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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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aerosol–cloud interactions, model development and high-performance computing, while producing publishable research and contributing to knowledge exchange with the wider modelling community. Please note that
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research, education, and services in data science, AI, and biomedical computation. We invite applications for a Research Asisstant (Cloud Infrastructure Engineer) role in CBDS. The successful candidate will
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are united in our efforts to understand, explain and improve our world and the human condition. Subject description Clouds in the atmosphere are formed by aerosol particles growing to become cloud-particles
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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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integrating IoT systems with cloud platforms such as AWS IoT, Azure IoT, Google Cloud IoT, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to
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10 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Environmental science » Earth science
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automated workflows in CMU’s Biological & Chemical Innovation Cloud Lab (Cloud Lab) to support increased throughput in cell and organoid culture. Work in this position will be highly interdisciplinary
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to improve cloud scheme that contributes one of the most important uncertainties in climate projections (Wang et al 2026, Nature Communications). Wang et al (2026) found that climate models largely