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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
realism of model results using theoretical understanding, physical models, and observations Use the model to investigate the behaviour of Arctic clouds in current and future climates Your Profile PhD in
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19 Mar 2026 Job Information Organisation/Company KU Leuven Research Field Computer science » Database management Computer science » Informatics Computer science » Other Researcher Profile Recognised
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industry (e.g., AI integration, cybersecurity trends, and cloud computing). Utilize a variety of teaching methodologies to accommodate diverse learning styles. Hold regular office hours to provide individual
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the existential challenge to the humankind: excessive energy consumption by data-intensive technologies such as Artificial Intelligence, Internet of Things and cloud computing. Successful candidates will hold a PhD
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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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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of contemporary computing, including cybersecurity, distributed systems, cloud and edge computing, software engineering, Internet of Things, computer graphics, and information systems. Key Responsibilities Prepare
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for install across the Network over the next 3 years, replacing mostly Elekta linacs. Cloud-based Aria and Eclipse are presently in process of replacing Mosaiq and Pinnacle. Brianlab ExacTrac with surface
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policies Implement metadata tagging and dataset documentation Oversee on premise and cloud data storage/compute chargeback cost allocations Interface with Fred Hutch Scientific Computing and IT Ensure
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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