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Description Ice and mixed-phase clouds remain a significant challenge for both observational methods and atmospheric modeling. However, recent advances in both areas offer promising opportunities for progress
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Ice and mixed-phase clouds remain a significant challenge for both observational methods and atmospheric modeling. However, recent advances in both areas offer promising opportunities for progress
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Do you want to help develop the next generation of safe and intelligent machines? We are now looking for a PhD student in semantic and goal-oriented communications with focus on cloud-assisted
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focused on modeling and simulations of turbulent mixed-phase clouds. This interdisciplinary project encourages collaboration with experts in atmospheric physics. The successful candidate will contribute
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. Subject and project description Through ELLIIT we now offer a new doctoral student position in the area of networked applications with cloud-assisted AI and control systems. ELLIIT is a strategic research
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cloud-assisted AI and control systems. ELLIIT is a strategic research environment funded by the Swedish government in 2010, as part of its initiative to support strong research in information technology
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version control systems, e.g., Git - Documented experience with using container and cloud technologies such as Docker, Helm, and Kubernetes - Documented experience in large-scale data management, high
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architectures, semantic interoperability, and governance mechanisms for secure data sharing Cloud-native systems security with focus access control Information The position is 1-2 permanent full-time employments
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. The role combines technical leadership with hands-on operational work and close dialogue with both internal experts and external partners. You will contribute to the development of MIMER’s cloud-native
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-0479 An introduction to the datasets offered is found here: https://clouds-and-precip.group Contract terms The Doctoral student positions are fully funded from start. The position is a fixed-term