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We are looking for a research staff who will be responsible for study of charge transport in tribovoltaic processes and the electromechanical properties of 2D piezoelectric materials for acoustic wave device applications. The research staff should have a solid background in numerical calculation...
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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and Academic Units Work with academic stakeholders to bridge the academic support needed by students e.g. academic mentorship, academic advising programme, setting expectations of academic requirements
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policy development that governs and ensures consistency in quality and value across NUS’ portfolio of master’s programmes and non-credit continuing education opportunities. NUS’ mission has shifted
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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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Job Description Job Alerts Link Apply now Research Fellow in Quantum Algorithms University-Level Unit: Centre for Quantum Technologies Faculty/Department-Level Unit: Computer Science Group Employee
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centre’s business activities. Event and Programme Coordination Plan, organize, and coordinate corporate and research-related events, workshops, seminars, and outreach activities — including managing
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cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI. The selected candidate will work exclusively in
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academia, industry, and national laboratories Job Requirements: PhD in Materials Science, Chemistry, Physics, Computer Science, or a closely related discipline. Strong experience with Density Functional
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Assistants will be responsible for the following duties: support the design, optimization and conduct of practical classes in the undergraduate programmes; adaptation of course materials towards blended