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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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. 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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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
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years of experience in systems development with Python and version control systems, e.g., Git – Documented experience with using container and cloud technologies such as Docker, Helm, and Kubernetes
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of complex software systems from a sustainability perspective. Large-scale development of complex software systems, for example, cloud-edge systems, microservice architectures, or critical cyber-physical