148 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" positions at ETH Zurich in Switzerland
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technologies (i.e. computing, data, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical
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to test its application in real-world environments. To support this project, we are looking for a motivated Full-Stack Engineer to join our team in building and maintaining modern web applications and cloud
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or equivalent qualification and is expected to establish an internationally recognized research program in the field of physical inorganic chemistry. Research methodologies may include, but are not
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encompass a breadth of organic geochemical approaches (GC-FID, GC-MS, HPLC-APCI-MS, HPLC-ESI-Orbitrap). In collaboration with the group of Sebastian Doetterl (https://soilres.ethz.ch/), additional soil
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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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surveying, and geodetic data processing. We are particularly interested in deformation monitoring using point clouds, development of new measurement systems, and advanced geodetic data processing using
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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