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Applications are invited for a Senior Researcher in Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data with Focus on Clouds position. This position, part of EU Horizon
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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 ICT Services
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, modeling, or AI/ML approaches in agricultural or environmental research. -Proficiency in server administration, distributed computing, and cloud platforms (AWS, Azure, Google Cloud). -Knowledge of full-stack
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their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling
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-performance and cloud computing; (iii) skills in mathematical modeling and scientific computing; (iv) an ability to work independently; (v) strong publication record (at least five first-authored publications
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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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days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring environment; an active seminar
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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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of cloud and edge computing, enabling the flexible allocation of resources and applications between the cloud and the network edge. In 8RA, FBK is responsible for the project Cybersecurity & AI at the Edge
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2027 - 02:53 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to