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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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investigate the genetic and molecular underpinnings of motor neuron degeneration. The successful candidate will be tasked with designing and managing a comprehensive research programme aimed at elucidating
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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strategic research development, programme-level integration, synthesis, dissemination, and collaboration activities. This role offers an exciting opportunity to contribute to centre-wide research outputs
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programme at the intersection of optics, electrical engineering, artificial intelligence, and experimental biology, with the aim of building closed-loop, autonomous experimental platforms that accelerate
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development and debugging experience Solid understanding of fundamental machine learning and AI techniques Knowledge of computer graphics and interface design Fluent in coding with generative AI Creativity
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and developing mitigation strategies for future-proofed silicon-level trust. Job Requirements: Minimally PhD or Masters in Electrical / Electronic / Computer Engineering with at least 6-8 years
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biomedical laboratory work; assist with experimental workflows as required Qualifications Diploma in Biotechnology, Biomedical Science, or a related field Basic computer proficiency (email, Microsoft Office
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Job Description Apply now Job Title: AI & Systems Engineer Posting Start Date: 18/03/2026 Job Description Please apply here for this position. (Only applications submitted through this link will be processed.) About the Role We’re expanding our systems team at NUS Enterprise to build the...
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Engineering, Computer Science, Artificial Intelligence, Industrial Design or a closely related field. ● Strong background in additive manufacturing and smart manufacturing systems. ● Proven expertise in