227 machine-learning-phd Fellowship positions at Nanyang Technological University in Singapore
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conferences and journals Job Requirements: PhD or equivalent in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field. Strong background in IC front-end design
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-making algorithm for autonomous vehicles. The work will involve sensor fusion, perception, trajectory prediction and test rig set-up, and experimental validation. Job Requirements: PhD Degree in Vehicle
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, or other related fields. Solid Mathematical skills. Experience in implementing algorithms for machine learning and natural language processing-related applications (It would be good if the candidate can also
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culture and animal studies Supervise undergraduate students Job Requirements: PhD in biomedical engineering, biotechnology, chemical biology and relevant backgrounds Good written and oral
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synthesis, partitioning, and verification automation. Integrate open-source and commercial tools (e.g., SpinalHDL) to build proof-of-concept design flows Building data pipelines for learning and knowledge
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, etc. Job Requirements: A PhD degree in relevant engineering or physical sciences. At least 4 years working experience in similar role / technical discipline after graduated with a PhD degree. Good
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quality inspection and monitoring systems. Development of hardware (e.g., head mounting devices, smart gloves, and commercial wearable sensors). Job Requirements: PhD in Industrial, Mechanical, or Materials
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or solutions An education researcher investigating the benefits of using tools or solutions for teaching and learning The successful applicant will work on AI + VR for Education project focusing on development
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leadership and expertise in the synthesis and characterization of advanced nanomaterials, specifically focusing on the integration of machine learning, wafer-scale synthesis of materials, and high-throughput
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community