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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | about 2 months ago
Infrastructure? No Offer Description Remote Sensing Scientist - Optical Cloud Imaging EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites Darmstadt, Germany The Remote Sensing and
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of aerosol research and aerosol-cloud interactions. TROPOS combines global field measurements, laboratory studies, numerical modelling and both ground-based and satellite-based remote sensing to improve our
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of the Shared Universe Engine (SUE), a physics-guided, intelligent, cloud-based open-source platform that combines a data laboratory, analysis tools, and interfaces to heterogeneous astrophysical data and
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d) Your tasks: Support in processing satellite and UAV remote sensing data on cloud platforms Adaptation and optimization
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physics-guided, intelligent, cloud-based open-source platform that combines a data laboratory, analysis tools, and interfaces to heterogeneous astrophysical data and simulations to serve as a collaborative
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at http://europass.cedefop.Europa.eu ); University degree certificates, whereby a bachelor’s degree must have been passed with at least second-class upper division (or equivalent) and a Licenciado degree
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international partners (industry and public agencies) to turn research AI models into production-grade services running on modern HPC and cloud-style infrastructure. Specifically, you will: Design, deploy, and
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2025.11.20.688607; doi: https://doi.org/10.1101/2025.11.20.688607 Moore, J., Basurto-Lozada, D., Besson, S. et al. OME-Zarr: a cloud-optimized bioimaging file format with international community support. Histochem
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programming skills (Python; ideally with experience in databases and cloud environments). Experience in image analysis and computer vision, ideally in the context of biological samples or materials science