880 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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of academic activities and events. Ensure accurate record-keeping and smooth delivery of teaching and programme operations. Participate in TCM clinical research by supporting patient recruitment, data
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an emphasis on technology, data science and the humanities. LKCMedicine is looking for a Senior Executive (Clinical Research Officer, Biobanking) who is self-motivated, proactive in problem solving and a strong
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: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering, or equivalent. Independent, highly analytical, proactive, and a team player; strong verbal and written communication skills
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Computer Science, Information Systems, Data Science, Engineering, Economics, or a related discipline Postgraduate qualification in Computing, Data Analytics, or Artificial Intelligence preferred Relevant Experience
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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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lifecycle. Qualifications and Skills: Required Qualifications: At least a bachelor’s degree in either Information Science, Library Science or in social and behavioral Sciences (e.g. Psychology, Sociology
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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processes. Perform any other duties as assigned to support the team’s and school’s objectives. Graduate Program by Research Support Assist the Associate Chair (Research) in scheduling the online interview
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Education, Psychology, or Social Sciences. A Master’s degree will be advantageous. Skills and Knowledge: Demonstrated competence in quantitative and/or qualitative research, including survey administration