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machine learning algorithms for electrical vessels condition monitoring, fault diagnosis and early fault prediction. The primary responsibility of this role is to deliver on Ship-level intelligent Equipment
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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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. 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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techniques, sensor and operation data fusion, data analytics and machine learning algorithms. The primary responsibility of this role is to deliver the program objectives for remote pilotage. Key
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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. These projects may include generative AI, AI and Machine Learning and Business Process Automation (BPA) related projects. Provide documentation support in the designing, developing, implementing, and monitoring
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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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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