408 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at Nanyang Technological University
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inspection programs and preventive maintenance works for Campus’s external infrastructure and grounds are carried out as planned and in accordance with standards expected. Follow up promptly on corrective
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The Singapore Indoor Farming Systems (SingFarm) is a new CREATE programme led by NTU Singapore and Wageningen University and Research (WUR), to use a systems approach to develop an efficient indoor
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in Nanyang Business School (NBS) Ensure that all programme and department operations run seamlessly. Manage the implementation of Learning Management System changes and maintenance routines as agreed
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academic partners. To perform any other duties related to the research program. Job Requirements: Preferably a Master degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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pertaining to the UG office matters of SSS, with the objective to ensure a smooth operation, timely and high- quality programme delivery to students. Key Responsibilities Work closely with the Program
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, budgeting, tracking of milestones/expenditure, and reporting. Plan and deliver scientific events (internal to international), managing speakers, logistics, vendors, sponsors, and post‑event outputs. Build and
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Skills Basic proficiency in programming languages such as Python or similar Working knowledge of SQL and relational databases Familiarity with data analytics and data visualisation tools (e.g. Power BI
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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other duties relevant to the programme of research. Job Requirements: Master’s degree in Computer Science, or a related discipline; Have a solid foundation in Machine Learning and Computer Vision. Strong