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. Experienced in developing machine learning and generative AI solutions for deployment into production. Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras) Strong programming skills in
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, data analytics, artificial intelligence, machine learning, etc. will be advantageous. Work independently, as well as within a team, to ensure that the project can meet the milestones adhering
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the areas of modeling and simulation. Have experience in programming. Have a degree in Computer Science / Computer Engineering / Mechatronics / Other Relevant Engineering Degree. Possessing a Master’s or PhD
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machine control for smart manufacturing as well as publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please apply with your resume
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experience may also be considered. Previous experience with DES / Deep learning using neural networks / DRL / Explainable machine learning / AnyLogic would be advantageous. Interest and enthusiasm
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++, Python, LabView) and firmware development. Working experience with IoT, data analytics, artificial intelligence, machine learning, etc. Extensive hands-on experience and knowledge of industry practices
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skills. Research experience in coastal and ocean waves is preferred. Excellent communication (verbal and written) and teamwork abilities Proficiency in machine learning will be an advantage Key
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-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international conferences and journals, as well as real-world
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-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international conferences and journals, as well as real-world
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fabrication and able to use and teach use of lathe, milling machine and similar workshop machinery. Hands-on competence in CAD, CAM and CNC programming. CNC machining experience, 3 axis and ideally experience