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authoring. Scientific project management experience, including coordination of multi-partner research activities. Experience with cloud computing platforms (e.g., AWS and Microsoft Azure). Experience with
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description The rapid expansion of IoT devices produces vast data, not all of which is relevant. In fact, only a fraction is used in real time. Current practice sends nearly all data to the cloud for processing
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of advantage: handling of remote sensing data acquired from satellite, airborne, and/or drone platforms geospatial data analysis and use of GIS software (e.g. QGIS) and cloud-based geospatial analysis platforms
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of cloud-based recalibration, edge AI systems must become "self-aware" and capable of autonomous evolution. Core Research Objectives. The primary objective of this PhD is to develop a high-performance, low
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(cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software product lines), human factors in security and privacy, post-quantum and embedded cryptography, and quantum programming
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are scarce and in high demand. Our graduates will be ready for roles at cloud and datacentre operators, energy companies, grid operators, telecom companies, and in academia. As a MSCA Doctoral Candidate you
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, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software
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AI-focused companies, technology companies, or research laboratories. Experience with robust software engineering, reproducible research, high-performance computing, or cloud-based scientific workflows