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) to predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate with domain
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using simulation-based parametric studies. Couple computational results with experimental data for model calibration and validation. Apply sensitivity analysis and optimization algorithms to refine model
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Governance, diplomacy, and strategic foresight Education innovation and learning ecosystems AI, algorithms, and society
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such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries. The candidate will need to master sensor technologies, embedded systems, and communication protocols
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and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of sustainable materials to develop promising
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: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation and temperature in Morocco. This will involve data analysis, model
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to public services Governance, diplomacy, and strategic foresight Education innovation and learning ecosystems AI, algorithms, and society
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, algorithms, and society Where to apply Website https://www.timeshighereducation.com/unijobs/listing/399598/vanguard-sase-resea… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook
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interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical
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that contribute to its advancement. Position overview: Domains: Experimental Astrophysics, Cryogenic Detectors, Space Sensor Physics Profile: We are looking for an experimental physicist with expertise in