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atmospheric sciences • Knowledge of cloud or aerosol physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a
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28 Feb 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique Fondamentale Research Field Computer science Mathematics » Algorithms Researcher Profile First
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training datasets; Design and carry out laboratory experiments to produce representative experimental training data; Develop physics-informed machine learning algorithms, trained on both numerical
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cylinder flow. Journal of Fluid Mechanics, 896, A24. Your research program After getting familiar with the existing mathematical formalism and numerical tools, you will develop new algorithms to efficiently
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in neuromorphic vision and algorithm–hardware co-design. Prior work includes the design of dedicated neuromorphic architectures for efficient SNN execution Abderrahmane et al. (2022), as
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integration of a non-intrusive power consumption monitoring (NILM) technology into an existing industrial optimization system. More specifically, the missions consist of: Participate in algorithmic and
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environment (real testbed or emulation) to implement attack scenarios and measure their impact on service availability. You will design and validate real-time attack detection algorithms capable of meeting the
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collaboration by proposing an original hybrid rule-driven/data driven approach to artificial intelligence and by studying efficient optimization algorithms. The team focus on robotic applications like environment
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of...
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structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption