829 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Cardiff-University" positions in Singapore
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. • Familiarity with reinforcement learning and more generally machine learning. • Experience with communication protocols such as LoRaWAN, Zigbee, BACnet, Modbus, and IoT integration using MQTT and RESTful APIs
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-clinical Endodontics radiography using mobile machines in Simulation Lab. Radiographic Equipment Training Conduct training sessions for students, postgraduate residents, and research fellows on the correct
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using mobile machines in Simulation Lab. Radiographic Equipment Training Conduct training sessions for students, postgraduate residents, and research fellows on the correct and safe utilization
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equivalent. Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable. Strong publication records in top-tier machine
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S-Lab for Advanced Intelligence, established in 2020, is a university laboratory at NTU focusing on research and development of cutting-edge AI technologies in computer vision, natural
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is to develop real-time truck-drone collaboration system to enhance Singapore safety and resilience and using learning-based approaches. Key responsibilities include: Collecting and analyzing relevant
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, privacy, and inclusion in AI-supported learning environments. Scholarly Dissemination – Publish findings in high-impact journals and conferences across AI, education, and human–computer interaction
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fabricate modifications for commercial specialised lab equipment, experience in designing for hardware integration, machining, part selection is required Operate specialised lab equipment; training will be
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
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learning; facilitation of collaborative learning workshops; support the design, optimization and co-ordination of experiential learning in the undergraduate programmes; support course coordinators in