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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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. Duties Within the Data Science Section, you will be responsible for: supporting the definition and implementation of the architecture for a hybrid-cloud science platform (expanding ESA Datalabs - https
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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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) 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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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
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executive MBA programmes. For more information about the group: https://www.rsm.nl/research/departments/technology-and-operations-management/business-information/ Job description You educate and inspire
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and CPS environments. Where to apply Website https://www.academictransfer.com/en/jobs/357430/phd-researcher-in-secure-and-pr… Requirements Specific Requirements We are looking for a highly motivated
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, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and algorithmic breakthroughs that enable
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on-device AI to ensure low latency, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and
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the models; Developed hybrid AI solutions need to be developed and implemented locally as cloud-based solutions are not an option for Thales NL; Working on-site at Thales to: analyse real data, observe current