146 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" uni jobs at ETH Zurich
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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
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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100%, Zurich, fixed-term The Computational Design Lab is an interdisciplinary research group at ETH Zurich, led by Prof. Dr. Bernd Bickel . We develop novel algorithms and next-generation