43 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"P"-"https:" "DIFFER" positions at Nanyang Technological University
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exchange programme. Support the exchange programme marketing and student engagement efforts. Conduct pre-departure briefings, ensure compliance and implementation of crisis management protocols for student
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different assessments, tasks, and research outputs (e.g. journal articles and evidence briefs) in both languages · Proficiency with Microsoft Office programs. · Good project management and organizational
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monitoring. Collect, clean, and analyze data from multiple systems (e.g., enrolment, finance, programme management) to generate actionable insights. Present analytical findings in a clear and visually
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on different student profiles including those who are socially at-risk. The main research objectives of the study are to: Conduct a literature review on existing studies of effect of arts-based programme on
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on different student profiles including those who are socially at-risk. The main research objectives of the study are to: Conduct a literature review on existing studies of effect of arts-based programme on
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to help users articulate requirements and translate them into actionable solutions. Provide balanced, evidence-based advice on the pros and cons of different technologies, architectures, and methodologies
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Assistant Manager / Manager to manage assigned credit-bearing internship programmes which include the Work-Study Degree Programme for eligible students in NTU. Programme Operations and Service Management
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on different student profiles including those who are socially at-risk. The main research objectives of the study are to: Conduct a literature review on existing studies of effect of arts-based programme on
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on different student profiles including those who are socially at-risk. The main research objectives of the study are to: Conduct a literature review on existing studies of effect of arts-based programme on
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Responsibilities: To perform pioneer research in scent digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different