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computing and machine learning. The research will emphasize both theoretical advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more
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: Support the development of AI and machine learning algorithms for autonomous navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration
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research clusters including Energy Transition, Surface Technology and Metallurgy, Polymers and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and
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research results and scientific outcomes to stakeholders and at scientific meetings and conferences. Co-supervise ungraduated, graduate and PhD students Participate in developing research proposals and
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a PhD in synthetic organic chemistry and must have: Clear understanding of the scope and role of organic chemistry in R&D Experience in handling hazardous reagents (solvents, chemicals…) Advanced
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. Criteria of candidates: PhD in Chemical/Mechanical Engineering, Energy, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with a focus on reactor and process design and development
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Controlled-Release Fertilizers, Agronomy, Agricultural Sciences, and process development Job Qualifications: PhD in applied Chemistry, Materials Science, Chemical Engineering, Agronomy, Agricultural Sciences
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presentations; Collaborate with internal teams, partner laboratories, and industrial stakeholders. Candidate Profile: Required qualifications : PhD in Mineral Processing, Hydrometallurgy, Chemical Engineering, or
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, and environmental engineers. Supervise MSc or PhD students. Qualifications: Ph.D. in Materials Science, Inorganic Chemistry, or a related field. Experience in the development of microporous materials
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documenting experimental research results. Working closely with project partners. Candidate Profile: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems