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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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English. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high-performance and cloud computing; (iii
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: Contribute code in Python (and/or C++/JavaScript), work with APIs, and support cloud-based workflows (Google Cloud/Azure experience is a plus). Documentation and communication: Maintain clear technical
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scientific datasets. Integrate cloud platforms, high-performance computing resources, and collaborate with infrastructure teams employing MLOps tools for scalable experimentation and deployment. Document and
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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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bioinformatics programming and high-performance computing environments, including Python, R, Linux-based workflows, and HPC/cloud platforms for reproducible pipeline development. Evidence of strong scholarly
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with cloud computing platforms Demonstrated application of AI/ML or advanced analytics to medical imaging, genomics, EHR, or related clinical/preclinical datasets Familiarity with healthcare data formats
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workflows between field acquisition teams, data center staff, and research collaborators to ensure seamless data transfer and integration. -Support daily operations of servers, networks, storage, and cloud
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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