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, XRD, and EDS for micro- and nano-scale phase analysis. LA-ICP-MS for ultra-trace elemental quantification. Investigation of impurity phase removal (e.g., Fe, P, Si, REEs). Environmental and economic
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modelling. The postdoctoral work will particularly be interesting for the comparison with the controlled experiments at the Ecotron facility near Paris. It will benefit for a pluridisciplinary research
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of communication, sensing, control, and decision-making mechanisms to enable efficient, reliable, and intelligent robotic operations in dynamic and uncertain environments. Depending on the candidate’s
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micro mobility applications. The primary focus will be on creating and optimizing state-of-charge (SOC) and state-of-health (SOH) prediction models to ensure the safety, efficiency, and longevity
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, including unmanned aerial vehicles (UAVs). The research will explore the joint design of communication, sensing, control, and decision-making mechanisms to enable efficient, reliable, and intelligent robotic
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equilibrium modeling in multi-component systems. Comprehensive use of characterization tools, including: SEM, TEM, HAADF-STEM, XRD, and EDS for micro- and nano-scale phase analysis. LA-ICP-MS for ultra-trace
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process intensification, sustainability, and advanced process control, aiming to develop AI-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex
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specific focus on water–soil interfaces, water retention, fertilizer/nutrient-controlled release, and soil hydration using multi-source biomass feedstocks. Job duties The successful candidate is expected
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-controlled release, and soil hydration using multi-source biomass feedstocks. Job duties The successful candidate is expected to: Design, formulate, and characterize biobased materials such as hydrogels
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-products. Monitor and control the migration of radionuclides and heavy metals throughout industrial processes. Optimization of Industrial Processes: Utilize nuclear techniques to enhance the efficiency and