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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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This is a post for a limited duration of three years. Location ESAC, Villanueva de la Cañada, Spain Description ESA maintains a world-leading Science Programme with missions in heliophysics
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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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. Experience in scalable data architectures for big data frameworks, large multidimensional geospatial datasets and related cloud-native technologies Competence with distributed computing frameworks (Apache
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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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computing has introduced new challenges in security, energy efficiency, and architectural design. Traditional security mechanisms, designed for general purpose or cloud-scale systems, are often
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. The internship project involves developing an AI model capable of operating in the ESA Cloud, which can analyse whether the document complies with the Configuration and Data Management requirements for each
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observational, simulated, or laboratory data sets Efficient use of high-performance computing (HPC) and cloud-based platforms (Near) real-time analysis of large or streaming data Data management, archiving, and
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. Experience with big data processing and cloud computing environments and proficiency in scientific programming. Experience in, or motivation to develop, research leadership and attract external funding
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computing structures (cloud, distributed systems, big data platforms); Actively engage students in applying concepts using real-world datasets, programming assignments, and industry-relevant technologies