660 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" positions at Nanyang Technological University
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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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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
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but are not limited to: Collaborate and work closely with all stakeholders to achieve programme admission goals, fostering a collaborative approach to success. Supports the application and admissions
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organizational objectives. This includes analysis of spending, regular communication, coordination, and joint decision-making in development of overall sourcing strategy/category management plan. Performance
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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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. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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, with problem-solving skills. An effective team player with the ability to work independently is preferred. Ability to prioritize and plan work activities in an organized manner, able to multi-task, track
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, ANGEL creates and deploys impactful green digital technologies for global sustainability. ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and
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orders for maintenance and improvement works and ensure that works are completed well. Plan and prepare advisories for residents on scheduled maintenance and unscheduled works. Serves as the main point
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microclimate and connectivity data provided by NUS Ecology and Geospatial teams. The Researcher may also be enrolled as a part-time PhD or Master’s student at NTU, in EEE or a related programme. Key