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programming based global energy system models (ate different geographical scales), based on the TIMES modelling framework. You bring your knowledge of quantitative methods and economic analysis, in some of the
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. •Solid knowledge of electromagnetic fundamentals •Strong programming skills in Matlab and/or Python •Interest or experience in AI/ML for classification •Curious, creative, and enthusiastic about research
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of quantitative methods of data processing and analysis, optimization and scientific programming, in the following areas. * The search, structuration and analysis of economic, energy and emissions-related data
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of cybersecurity to join our team. The candidate must have good programming skills (Python, C, assembly, …) and some basic knowledge in artificial intelligence, embedded system security, vulnerability exploits. A
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Proficiency in numerical methods and programming Prior knowledges to Rydberg‑atom experiments, RF field sensing, or related quantum‑sensor technologies will be advantageous We offer: An internship in the heart
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, knowledge of III-V technologies is a plus. • Familiar with RF design tools (ADS, Cadence) and programming platform (Matlab, python…) • Pro-active attitude, good communication, documentation, presentation
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learning and optimisation, and be skilled in Python programming and in using various machine learning libraries and frameworks. Rejoignez-nous, venez développer vos compétences et en acquérir de nouvelles
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(BAC+5) in Computer Science, Applied Mathematics, or related field. Qualification: Strong knowledge of deep learning (CNNs, VIT) and PyTorch. Good programming skills in Python (C++ is a plus). Interest