7 machine-learning-phd Fellowship research jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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applied artificial intelligence for job scheduling and machine control for smart manufacturing as well as publications in top-tier international conferences and journals, as well as real-world
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to transfer learning, explainable machine learning, battery management, etc. Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers. Participate in
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applied artificial intelligence for job scheduling and machine control for smart manufacturing as well as publications in top-tier international conferences and journals, as well as real-world
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analytical skills, with proficiency in using AI and machine learning technologies for security data analysis and anomaly detection. Commitment to continuous learning and development in the field
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applied artificial intelligence (e.g., physics-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international
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applied artificial intelligence (e.g., physics-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international
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Science / Computer Engineering / Mechatronics / Other Relevant Engineering Degree. Possessing a Master’s or PhD degree will be advantageous Knowledge of web system develop will be advantageous Key Competencies Able