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experimental security (FSec Group: https://vu.nl/en/about-vu/faculties/faculty-of-science/more-about/found… ), with a focus on Cloud computing, the use of data analysis and AI techniques to quantify, evaluate
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Operations System Engineer for Cloud Platform to support the development and extension to cloud of the ESA Datalabs (datalabs.esa.int) science platform, with primary application to the Euclid Data Space. The
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to curate, analyze and share imaging data in a national cloud solution. You will get the opportunity to contribute to a variety of levels, dividing the work within the team based on interest and expertise
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-dimensional wind field, along with associated cloud and precipitation structures, across a wide range of atmospheric phenomena. In addition, it will provide valuable observations of sea ice and snow, as
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, CPUs) and storage and integrates cloud services to ensure scalability and reliability. You will work closely with users of various systems, suppliers, and colleagues who realize new functionalities and
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managing the associated procurement activities for their cloud- or HPC-based implementation; supporting the operational Copernicus Sentinels missions and DestinE data management activities; supporting
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systems) is a strong plus. Familiarity with data tooling for scale and reproducibility (e.g., SQL, Docker, AutoML, cloud infrastructure, CI/CD) is a plus. Experience with NonDestructiveTesting/Inspection
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) Familiarity with data portals, metadata catalogs, FAIR principles, and data governance models Experience with cloud data platforms (e.g. Azure, Google Cloud Platform) is a plus Excellent communication and
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the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information technologies (platforms, cloud computing
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temperatures across a unique buoy array. Combining the in situ buoy data with rain and cloud observations, you’ll quantify spatial and temporal heterogeneity and link atmospheric drivers to lake responses