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in workshops and in scientific journals and conferences. Scientific context The main challenge is to quantify the risk of a severe accident in order to guarantee the safety of containment structures in
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to on-going theory-experiment collaborations, and supporting PhD students. • Initiative in developing new projects and securing external funding is highly encouraged. • Additional expertise in quantum
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the Doctoral School of Energy, Materials, Earth and Universe Sciences. The ANR CHAIN-H2 AAPG2025 – CES 05 project brings together a consortium comprising the French Nuclear Safety and Radiation Protection
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 27 days ago
of collaboration with robots, where safety is paramount. The ambition is to create a foundation that bridges natural language commands into interpretable commands for the robot, leading to robot actions
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability
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the thesis. A background check of the candidate by the Security and Defence Officer is mandatory. Interviews for shortlisted candidates are likely to take place on 22 April (morning). This PhD thesis, funded
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 days ago
Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage From €2788 gross
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stochastic modeling, Bayesian inference, data fusion and modern machine learning. Its research activities span various application domains such as security, non-destructive testing, infrared imaging and
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translational medicine using a "bench-to-bedside" approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in
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” problem applied to working fluids -- Selection and screening of candidate molecules from thermodynamic databases. -- Analysis of thermodynamic, environmental, and safety properties of fluids. - Joint