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to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 9 hours ago
deep learning (x/f/d/m) Background With the project Deepcloud, we will leverage the machine-learning revolution to understand clouds and their role in the climate system. We aim to train a deep learning
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Applications are invited for a Postdoctoral researcher in convection and aerosol research with satellite based remote sensing. This position, part of the EU Horizon Europe project Clouds and climate
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. Posting Summary The Eastern Pacific Cloud, Aerosol, and Precipitation Experiment (EPCAPE) was designed to investigate Aerosol-Cloud Interactions and cloud brightening in California marine stratocumulus
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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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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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University of Applied Sciences in Nowy Sacz (Akademia Nauk Stosowanych w Nowym Sączu) | Poland | 3 days ago
teaching in the field of computer networks, system and network security, cybersecurity of IT systems, and security of cloud systems and services, 4) the ability to work effectively in a team, 5) willingness
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Technology at Lund University, The Faculty of Engineering, is unique in covering the entire technology stack — from wireless hardware and radio systems to distributed cloud platforms and applications. This broad
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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable
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WaterWeave project, which focuses on innovative solutions for monitoring and the sustainable management of water resources. The fellow will develop machine learning and cloud computing techniques to estimate