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for bidirectional connection of commercial vehicles for greater grid stability and increased efficiency Your profile: Master’s degree in computer science, electrical engineering, mechatronics, or a related field
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, mechatronics, or a related field. Knowledge of AI/ML methods and frameworks (e.g., PyTorch, TensorFlow). Basic understanding of embedded systems and communication protocols (TCP, UDP; TSN desirable). Familiarity
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scientists and automation specialists to develop a reliable, fast, material testing process Your Profile: Excellent masters degree in Chemical Engineering, Materials Science, Data Science, Mechatronics or a
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, material testing process Your Profile: Excellent masters degree in Chemical Engineering, Materials Science, Data Science, Mechatronics or a similar discipline Strong interest in pursuing research
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning