40 engineering-engineering "https:" "https:" "https:" "https:" "Computer Vision Center" PhD scholarships in France
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electrical/electronic engineering, computer engineering, computer science, physics, or related fields Experience with emerging memory devices A strong electronics background, including experience in
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, applied mathematics, computer science, computational engineering or a related discipline Sound knowledge of mathematical optimisation, control engineering or energy-management methods Experience in
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merging for efficient semantic segmentation. In: Proceedings of the 21st International Conference on Computer Vision Theory and Applications (VISAPP), pp. 43–54. (2026). [2] Sassoon, J., Szczepanski, M
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or a comparable field i.e. Electrical Engineering, Computer Science/ Engineering, Physics or the like Strong mathematical background Interest in energy systems, power grids and their components
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Current master's student in Process Systems Engineering, Computational Engineering Science, Chemical Engineering or a comparable program Programming experience in Python; experience with PyTorch is a
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Academy of Sciences (UCAS) Global Faculty Recruitment Beijing (CN) Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ University Town of Shenzhen
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publishing in peer-reviewed scientific journals Your Profile Master’s degree in electrical engineering, physics, computer science, or a related field Strong academic background in embedded AI and in the
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program in electrical engineering, energy systems, computer science, data science, applied mathematics, industrial engineering, or a related field, and have demonstrated very good academic performance in
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a Master's program (M2) or an Engineering School (including gap year students). • Practical experience in robotics, specifically with ROS2 knowledge. • Strong skills in computer vision and machine
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engineering, soil science, hydrology, plant science, environmental science, physics, engineering, applied mathematics or a related field Strong quantitative skills Interest in soil–plant water relations and