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(e.g., Kubernetes or high performance computing clusters, cloud services). You will work closely with our customers to understand their data and their needs in working with the data, find solutions
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dedicated to research, advanced medical data streaming and processing machines, as well as state-of-the-art local and scalable cloud-based, compute infrastructure (CPU, GPU). Long-standing and very successful
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reactions. Development and deployment of graphical user interfaces (web apps, desktop apps) Parallel computing (GPU & CPU). Familiarity with cloud platforms (AWS, Azure, or GCP), Docker, Kubernetes
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Lab, D-ITET, ETH Zürich PhD student in Human-Computer Interaction: Adaptive Systems in Mixed Reality (UI + LLMs) 100%, Zurich, fixed-term 20.08.2025 | Sensing