29 computational-mechanics-phd Fellowship positions at Nanyang Technological University
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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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. Support the supervision of graduate students and research assistants involved in the project. Job Requirements: PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a
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advanced manufacturing, mechatronics, innovative design, nanotechnology, and biomedical and computational applications. The School of Mechanical and Aerospace Engineering (MAE) invites applications
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roadmap with digital twins in various industries. Job Requirements: PhD in Industrial, Mechanical, or Materials Engineering. Demonstrated experience in the area of design, methods, modelling, and
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roadmap with digital twins in various industries Job Requirements: PhD in the area of Industrial, Mechanical, or Materials Engineering Demonstrated experience in the area of design, methods, modelling, and
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on incentive mechanism design. Help supervise PhD, master and undergraduate students, and R&D staff. Help with federated learning technical platform design and development. Help with collaboration with existing
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metallic components (ferrous and non ferrous). Job Requirements: PhD (or Engineer with minimum 2 years of experience) in materials/mechanical engineering, in the field of solid state material recycling
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international research grants. Job Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Proven research track record demonstrated by publications in top
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics