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experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data analysis within the MAX IV edge-cloud
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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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-0479 An introduction to the datasets offered, so far, is found here: https://clouds-and-precip.group Contract terms The Doctoral student positions are fully funded from start. The position is a fixed
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. Patrick Eriksson. For an overview of the research articles produced by the team, see https://orcid.org/0000-0002-8475-0479 An introduction to the datasets offered, so far, is found here: https://clouds-and
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deployed in a variety of environments, ranging from public repositories such as Hugging Face, to proprietary cloud-based platforms, following the Model-as-a-Service (MaaS) paradigm. These models, whether
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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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of Medical Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research
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deployed in a variety of environments, ranging from public repositories such as Hugging Face, to proprietary cloud-based platforms, following the Model-as-a-Service (MaaS) paradigm. These models, whether
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resource-constrained IoT and industrial systems to vehicular platforms, smart grids, and large-scale cloud and edge infrastructures. The unit has maintained an active and well-established research profile
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tools, and deploy these methods on a cloud-based platform. The work will bridge fundamental electrochemical reactivity with practical electrolyte and materials design, directly contributing to improved