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. Documented experience with analytical methods and wet-lab experimentation. University-level teaching and supervision experience. Track record of scientific publications in high-quality journals. Strong
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) publications in international journals indexed in Web of Science (Clarivate Analytics) within the scientific area of the competition, not counting publications that do not fall within the scientific area of
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an interdisciplinary research team; Excellent publication records; Experience in large-scale earth observation analytics; Experience in integrating multi-source remote sensing data with process-based or data-driven
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, with a view to developing and carrying out the above-mentioned project and related scientific activities, with a particular focus on the development of analytical models (data science – machine learning
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machine learning e.g., GNNs, graph representation learning, hierarchical or probabilistic graph models Strong analytical and problem‑solving abilities, with enthusiasm for developing novel computational
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, finger, and multimodal) under controlled and semi-wild conditions. Develop AI-based algorithms for biometric trust assessment, anti-fraud analytics, and secure onboarding. Lead the deployment and
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and their development Strong analytical, problem solver, and programming skills, e.g. Python, Matlab, are preferred Knowledge in Non-Terrestrial Networks and Semantic Communications is a plus Prior
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developing automated tools for accelerating contingency analysis is a plus. Strong analytical skills with the ability to process, interpret, and present technical results clearly. Excellent written and verbal
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in academic, industrial, or national laboratory settings. Familiarity with wet chemistry experiments and anoxic glovebox maintenance. Familiarity with IR spectroscopy, optical cavities, and analytical
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