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algorithms, optimization routines, and simulation-based decision tools. Support project-based learning with practical applications in PDEs, ODEs, discrete optimization, and control theory. Provide expertise in
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. Support project-based learning with practical applications in PDEs, ODEs, discrete optimization, and control theory. Provide expertise in operations research methods (e.g., linear, nonlinear, integer
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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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. 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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and controlling their underlying specific functionalities and the structure-properties relationship acting over multiple length scales from the molecular, nano to the macro level and their cross
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foreign industries. Demonstrate an ability to work collaboratively within a team. Have a good command of both French and English. Required Skills Research Skills Solid knowledge of fundamental
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with controlled size, shape, and surface chemistry. This role involves developing novel nanostructures, tailoring their surface functionality for for heavy metals removal. Key Responsibilities
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Design and execute experiments to study molecular and physiological processes in plants. Utilize tools such as proteomics, and metabolomics. Analyze plant phenotypes under controlled and stress conditions
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approaches, e.g. sol-gel, thermal decomposition, and hydrothermal synthesis, for producing nanomaterials with controlled size, shape, and surface chemistry. This role involves developing novel nanostructures
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extensive expertise in: Rock mechanics, ground control, and geotechnical engineering in mining. In-situ geotechnical characterization and risk assessment. Job Description: The Geology and Sustainable Mining