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-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Marcy, Picardie | France | about 5 hours ago
for comparing the performance of surveillance and control strategies in relation to inferences based solely on incidence data. To this end, you will design mechanistic models capable of reconstructing
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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-reciprocity of spin waves Angular Momentum of Magnons Magnetically doped Transition Metal Dichalcogenide Thin Films via Molecular Beam Epitaxy Modeling of a magnonic diode based on spin-wave non-reciprocity in
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making
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modelling, microgrid technologies, and simulation-based research. Key Responsibilities Participate in and manage the research project with the PI, Co-PI, and team to design a robust mobile DC microgrid
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. The work is part of the regional project “Optimizing Renewable Energy Integration: FPGA-Based Model Predictive Control (MPC) for Grid Stability” (Ref. SI4/PJI/2024-00238) Where to apply Website https
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movement data (EMG, ultrasound, motion capture) You are creative, proactive, and comfortable working at the interface of AI, physics-based modelling, and control. Why Join Us? Be part of a cutting-edge
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Montpellier, Languedoc Roussillon | France | about 6 hours ago
networks, remote sensing, ad-hoc experiments in controlled conditions or in the field) with crop modelling (to improve biological interpretability) to produce knowledge and laws of responses to extreme and
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understanding, modeling and simulation, iterative and confident progress, justification, and decision support. To this end, the ISOAR team is promoting a research focus on model-based engineering (MBE) and model