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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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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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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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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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. 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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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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control, basic course (study periods 1 & 2), FRTN65 Modeling and learning from data (study periods 1–2), FRTF01 Physiological models and computations (study period 2), and FRTN90 Cloud computing (study