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for the position of Research Fellow. Key Responsibilities: Conduct research on mechanics of soft robotics Collaborate with team members (Research Associates, Project Officers, PhD students), and mentor undergraduate
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. Perform thermal characterization and real-application tests. Prepare monthly reports and presentations for meetings and project deliverables. Mentoring of PhD students. Job Requirements: Possess PhD degree
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supervise PhD and undergraduate student projects as required. Work closely with an interdisciplinary team members from other research clusters. Job Requirements: PhD in Electrical and Electronic Engineering
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projects. Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: A PhD in Computer
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Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline Proven research track record demonstrated by publications in top-tier venues (e.g., IEEE S&P
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and presenting Job Requirements: PhD degree in Artificial Intelligence, Computer Science, Software Engineering Strong background and research experience in artificial intelligence, software engineering
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Responsibilities: To develop process for cooling high-power electronics To fabricate device prototypes of such cooling device Conduct research and experiments at the MAE laboratory facilities Supervise and guide PhD
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fabrication High frequency characterization of fabricated passive devices Work together with collaborators on waveguides design Draft research papers for academic journals Mentor new manpower (PhD or FYP
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infrastructure security R&D. 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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and journals. To be involved in the mentoring of PhD/Masters/FYP students. Job Requirements: Preferably PhD in Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge