787 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Hong Kong" positions at Nanyang Technological University
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publication record in reputable journals (published more than 3 journal papers) Good English writing and communication skills - essential for data analysis and communication with stakeholders Demonstrated
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environmental conditions Design and implement rigorous study Conduct wet-lab experiments Perform in-depth, critical data analyses Effectively communicate through presentations and high-quality journal
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NTU’s College of Humanities, Arts and Social Sciences (CoHASS) includes four schools: Humanities; Social Sciences; Art, Design and Media; and the Wee Kim Wee School of Communication and Information
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holders — who can demonstrate the following skills: End-to-End Project Delivery: Have a strong portfolio of AI/ML project(s) that showcases ability to deliver solutions from scoping and data analysis
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of implementation and data integrity. · Manage participant recruitment, scheduling, and logistics for classroom-based studies. 3. Data Collection and Analysis · Conduct quantitative and qualitative data analysis
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holders — who can demonstrate the following skills: End-to-End Project Delivery: Have a strong portfolio of AI/ML project(s) that showcases ability to deliver solutions from scoping and data analysis
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-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skill Competent in soft skills / general personality traits e.g. information visualization
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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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The College of Computing and Data Science is looking for Assistant Director, Finance. The incumbent plays an instrumental role in establishing and maintaining finance business partnerships with
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data analysis through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve