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Responsibilities: Conduct research in the domain of real-time scheduling and resource allocation problems for machine learning pipelines deployed in safety-critical cyber-physical systems. Close collaboration with
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closely with professionals in the field of AI, technology and medicine Conduct literature reviews, coordinate schedules for data collection with survey and interview participants Assist in data collection
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an attention to detail and be meticulous Possesses excellent communication and interpersonal skills Self-motivated and able to complete experiments on schedule We regret to inform that only shortlisted
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participants and schedule data collection Manage schedule for data collection by part-time student research assistants Assist with data collection using video camera and 3D motion capture system Enter and
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innovative solutions for teaching and research projects to deliver impactful results. Coordinate schedules, optimize resource allocation, and oversee maintenance activities to enhance operational efficiency
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-Directors to support strategic planning, scheduling, budgeting, and the operational setup of the MSc in GDAT programme. Oversee and manage end-to-end student admissions, including outreach, application
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in Nanotechnology and Nanoscience and the MSc in Engineering Management. The first intake for these programmes is scheduled for Academic Year 2025/2026, with an anticipated cohort of approximately 180
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Responsibilities: Conduct research in the domain of real-time scheduling and resource allocation problems for machine learning pipelines deployed in safety-critical cyber-physical systems. Provide implementation and
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communication skill Self-motivated, and could deliver under tight schedule We regret to inform hat only shortlisted candidates will be notified. Hiring Institution: NTU
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interview scheduling and booking facilities. Basic research: conduct literature review Data collection: participate in the data collection process for both qualitative (e.g. interviews) and quantitative (e.g