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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 10 days ago
science, and energy systems, with applications in smart mobility, electric vehicle integration, and power grid management. It contributes to the design of decision-support tools for infrastructure planning
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, understanding and predicting their thermal conductivity from first principles calculations is very challenging. In this doctoral research project, we plan to use machine learning potentials to investigate
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, CADENA seeks to replace toxic catalysts with eco-friendly, high-performance alternatives, aligning with France's and Europe's green chemistry and circular economy goals. Where to apply Website https
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for Scientific Research (CNRS), two universities, and an engineering school from the Nord region. Its facilities for the design, fabrication, and characterization of micro- and nano-devices are among the best in
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fabrication Prototyping Electrical and electronic engineering Numerical simulation Optics Computer-aided design (CAD) Optical and electrical characterization techniques Semiconductor materials # Soft Skills
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machine learning for cybersecurity, current systems remain largely based on pattern recognition and struggle to incorporate contextual reasoning, temporal dependencies, and relationships between entities
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21 Apr 2026 Job Information Organisation/Company IMT Atlantique Department Doctoral division Research Field Computer science » Systems design Computer science » Programming Mathematics » Applied
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world. Designed primarily as a neutrino oscillation experiment, it aims to deepen our knowledge of this phenomenon, including determining the mass order of neutrinos, measuring the phase of charge-parity symmetry
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progress, current wearable robotic systems face fundamental limitations. Model-based controllers ensure interpretability and safety but often struggle to accommodate human variability and complex real-world
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strong interest in machine learning. Additional Information Benefits WHY JOIN US : 👉 Friendly working environment in a small, dynamic team 👉 Stimulating innovation ecosystem (startups, students, research