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Job Description Apply now Job Title: Temporary Systems Support Manager Posting Start Date: 11/09/2025 NUS OAR The NUS Office of Alumni Relations (OAR) fosters a lifelong relationship between the National University of Singapore (NUS) and its alumni. It provides a platform for alumni to stay...
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Requirements Master qualification degree in Electronic Engineering or Computer Science Familiarity with pinching antennas and machine learning Good written and oral communication skills Proficiency in python
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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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, and hardware assurance. Job Requirements MSc/MEng in Electrical Engineering, Computer Engineering, Cybersecurity, Physics, or a related discipline, with specialization in security evaluation or hardware
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systems, reservoir computing, forecasting, and learning of dynamic processes. He/she will also explore the writing of research with MAS colleagues, as well as explore collaborations with colleagues from
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Responsibilities The successful candidate will: Establish and lead an independent, innovative research program. Contribute to cutting-edge research and interdisciplinary collaborations. Teach and mentor students
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manage the Management Associate Programme end-to-end, overseeing selection, onboarding, rotations, performance management, talent development, progression, while effectively managing the talents
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excellence and continuous improvement of the Electives Programme, a pivotal component of the MD curriculum that significantly enhances students' clinical exposure both locally and internationally. In
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• Knowledge of Geographic Information Science and spatial tools (e.g. ArcGIS, QGIS); experience with spatial visualisation will be an advantage • Core Microsoft Office skills are expected • Excellent
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science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python