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of Artificial Intelligence (AI) in Chemical Process Systems Engineering (CPSE). The position addresses key challenges in process intensification, sustainability, and advanced process control, aiming to develop AI
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under
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review publications. Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales
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management and analysis: Collect, manage, and analyze experimental data using statistical and modeling tools. Interpret results to draw meaningful conclusions and develop recommendations for sustainable
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materials. Job description: The successful candidate will: Undertake original research of international excellence. Prepare papers for publication in leading journals and/or contribute to the dissemination
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-related instrumentation projects Teaching and mentoring abilities Contact Information: For questions or more information, please get in touch with [email protected] UM6P.
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protocols, and simulation environments. Teaching responsibilities include environmental qualification, cleanroom practices, and spacecraft systems engineering. Key qualifications: PhD in Aerospace, Physics
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tools. Key Responsibilities: Conduct innovative research on the application of Large Language Models (LLMs) to predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret
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, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable solutions. Main tasks and responsibilities Design, develop, and test IoT solutions for air quality