543 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IRIBHM-ULB" positions at Nanyang Technological University
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for Information Systems (CITS) team, as well as ERP solutions providers. Responsibilities Change enabler that critically assess Enterprise Spend processes, system designs and workflows to bring about simplified
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qualitative research methodology Meticulous with good organizational skills, especially in managing reference libraries and research data Ability to support and write-up sections in academic writing and
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an emphasis on technology, data science and the humanities LKCMedicine is seeking a detail-oriented and organised Senior Executive to join the Graduate Programmes team. The successful candidate will provide
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advanced data analysis methods, simulation tools, and scientific programming to support process modeling and predictive materials design. Translate experimental findings into scalable, commercially viable
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, Computer Science, Data Science, Artificial Intelligence, Communications). The candidate may be a undergraduate or postgraduate with an interest in exploring a PhD as a career option in academia. The candidate must
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support junior team members. Closing Date The closing date of the advertisement is 21 January 2026. We regret that only shortlisted candidates will be notified. Other Information NIE staff can take
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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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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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of lab-scale and pilot-scale experiments/operations with element of machine learning, sample characterizations, data analysis, and so on. Job Requirements: PhD degree in Materials Science, Polymer Science
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their Bachelor’s degree by Summer 2026 are welcome to apply. Experience in research involving young children Experience with data management and analysis Proficiency with data management and analysis tools (e.g., R