654 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "J" positions at Nanyang Technological University
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Qualifications: Recognized degree in any discipline. Knowledge & Experience: Experience in academic administration, programme management, or accreditation support within a university or similar educational
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academic operations by overseeing part-time lecturer (PTL) administration, managing teaching-related resources, and ensuring smooth delivery of student and programme processes. The role requires strong
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topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly
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-trained Models. A solid research foundation and engineering experience in the AI medical field, proficient in programming languages and frameworks such as Python, C++, Pytorch, Tensorflow, Opencv, and
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work experience in stakeholder/ partnership engagement and programme management, preferably within education or technology environments. Experience in learning analytics and dashboards, and in the use
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for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state-of-the-art AI techniques. Mastering of a
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for the management of buildings and building services in the Academic Zone, ensuring they always remain fully functional and operational. Key Responsibilities: Plan and supervise maintenance activities to ensure
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relevant stakeholders who can contribute to wellbeing initiatives. Work closely with stakeholders to plan, develop and advance joint initiatives that address the diverse wellbeing needs of the NTU community
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renewable contract. Key Responsibilities: Run infrastructure/system operations in Energy Research Institute @ NTU (ERI@N) Ensure that all program and department operations run seamlessly. Manage the