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services inherent to the deployed technology, should be considered in a holistic approach. While optimization methods have been applied at various scales, they often overlook system dynamics, demand
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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
parametric numerical study to improve the geometric configuration (number and placement of heating probes) and optimize operational parameters. Explore decarbonization scenarios by combining technological
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operational constraints and employee preferences, within rigorous optimization frameworks. Data science and machine learning: experience with data preparation, feature extraction, and preference learning
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(2023); 6. Cheng, F. et al. Optimized Ca-Al-La modified biochar with rapid and efficient phosphate removal performance and excellent pH stability. Arabian Journal of Chemistry (2023). Require skills
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SUBATECH. The proposed thesis is part of the research activities of the team RAMBO of the RAMBO team (Robot interaction, Ambient systems, Machine learning, Behaviour, Optimization) of the Lab-STICC
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technologies, energy and environmental sciences to transform society and industry through education, research and innovation. The institution operates on three campuses located in Brest, Nantes and Rennes. It is
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state-of-the-art infrastructure (technological platforms, coworking spaces) promoting an optimal work-life balance within a school ranked among the best in Europe (Top 10 in France, THE rankings