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analytics, software engineering, and security Supervising PhD students Teaching in the Bachelor's and Master's programmes of the Department of Computer Science, either in computer science or artificial
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required for this post. A PhD is desirable. Additional requirements Additional assets for this position are: experience in machine learning engineering and related tooling; experience with European cloud
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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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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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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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-information Science and Remote Sensing; you collaborate with colleagues and supervise PhD students, BSc and MSc theses and you develop and teach courses; you contribute to the further development of the Laboratory
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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