125 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL"-"UCL" positions at ETH Zurich in Switzerland
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
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(tenure track) in computer science with focus on networking and distributed systems and special emphasis on data centers and cloud computing. Within these areas, topics of interest include protocol design
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management policies to achieve energy neutrality and autonomous operation in long-term deployments. Edge–cloud integration and field deployment. Deploy and validate sensor networks on representative assets
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, deployments in the clouds or on our own servers. We’re now looking for a new team member to join our Software Development & IT team. Read on to find out if this could be the right fit for you! You’ll be working
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optimizing such software to high-performance and cloud computing infrastructures. CDSS has current an open position for a Research Data Expert. Job description In this role, your responsibilities and work will
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experimental-design principles, especially as applied to perturbation-effect estimation at both perturbation and gene levels. Bioinformatics workflow design (Snakemake/Nextflow) and HPC/cloud computing
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with ruminant nutrition, sustainability modeling, or precision agriculture is a plus. Proficiency in data handling, visualization, and high-performance computing (e.g., Python/R for analysis, cloud
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100%, Zurich, fixed-term The doctoral program at the Institute of History and Theory of Architecture (gta), ETH Zurich, offers two fellowship positions to start on 1 October 2026. This program
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
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-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable