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NTU is seeking experienced and motivated individuals to join our dynamic team in the Office of Development and Facilities Management. The department oversees the physical development and maintenance of all University buildings and grounds in support of the academic, research and administrative...
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education programmes expansion, international partners cultivation, and strengthening of alumni engagement. Conceptualisation of the programme flow, invitation of appropriate guest speakers, engagement
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School of Physical and Mathematical Sciences (SPMS) Nanyang Technological University, Singapore Associate Prof / Full Professor in Optimization, Control, and Scientific Computing Young and research
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Technopreneurship and Innovation Programme looks after the operations of the MSc TIP programme which include academic support, instructor liaison, logistical arrangements for classes, student/alumni management and
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assigning and regularly reviewing access rights to stakeholders based on their roles and responsibilities. Additionally, the Senior Executive, if inclined, may be exposed to data science initiatives
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Nanyang Technological University Singapore (NTU Singapore) is a young and research-intensive institution, with more than 30,000 students in engineering, business, science, humanities, arts, social
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Established in 1981, the School of Electrical and Electronic Engineering (EEE) https://www.ntu.edu.sg/eee is one of the founding Schools of the Nanyang Technological University. Built on a culture
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exploration and planning throughout their programme tenure with NTU. 2. Guide and empower PG students to help them understand and articulate their goals, strengths, values, motivations, skills and interests
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initiatives. Participate in special projects on teaching and learning as required. Requirements A University Degree related to Education, Learning Sciences, Business/Data Analytics, Applied Statistics and
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of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical informatics approaches (e.g., machine learning, Bayesian statistics) and