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Experience in Adult Learning: Validation of Flow in Education. Frontiers in Psychology, 12, 1-12. [16] Hong J., Lee N., Thorne J. (2024). ORPO: Monolithic Pref. Opt. without Reference Model. arXiv:2403.07691
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and with the 2AT team at Institut Pprime to develop resolvent-based modelling tools for turbulent jets in cases where the jet mean flow is three-dimensional. The researcher shall: - Develop a high-order
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for maritime navigation, environmental risk management, and understanding climate interactions in polar regions, particularly in the Arctic. Current forecasting systems, which rely on physical models and data
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limitations inherent to existing studies: current exposure models are often overly simplistic (single-polymer, short-term exposure) and fail to adequately characterize the behavior and dynamics of NPPs within
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–Stokes operator linearised about the turbulent jet mean flow. The tool, designed to account for the decorrelating effects of turbulence, will first be validated on axisymmetric jets and subsequently
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modelling, both assisted by AI. The PhD candidate will have access to state-of-the-art research facilities and computational resources. He will be offered the opportunity to participate in in international
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of the optimised geometries in the anechoic wind tunnels of Institut PPRIME, using source localisation systems based on microphone arrays. UPR 3346, Pprime Institute, is a CNRS unit under a specific agreement with
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both national and international level in the field of Earth and Space Sciences. The laboratory's research covers a very broad disciplinary spectrum, currently organised around three themes. Its research
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prediction models, and visualizing immense volumes of various types of data, generated by agri-robots and IoT devices. The most popular classes of autonomous agricultural devices include: weeding robots
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currently an unmet need to characterize the efficiency of promising nanoagents. The objective of this doctoral project is to develop an innovative method for sensing and quantifying the hotspot effect in