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machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid understanding of fluid dynamics and heat transfer, as
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given to the ability to assimilate third-cycle courses and study programmes at a higher education. The applicant should have documented knowledge in energy systems and machine learning technologies
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CAD, machine elements, solid mechanics, materials engineering, design - Supervision of students and PhD students - Collaboration with external academic and industrial partners - Contribution
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