824 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Hereon" positions at Nanyang Technological University in Singapore
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Associate/Assistant in Data Analytics to develop analytics and AI tools for information retrieval, analysis, and action
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topics. Further information: Programme: https://www.ntu.edu.sg/education/graduate-programme/master-of-science-in-information-studies School: http://www.wkwsci.ntu.edu.sg/ University: www.ntu.edu.sg Review
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The Office of Alumni Engagement (OAE) manages records for more than 300,000 alumni and supports NTU’s alumni engagement strategy through reliable and meaningful data. This role ensures the accuracy
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a Research Assistant to support
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bachelor’s degree in photo media—coupled with substantial, relevant commercial experience—will also be considered for the role. For more information on the course and its objectives, please read the Course
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data analytics architecture to advance operational efficiency and enable data-driven decision-making within SASD by leveraging advanced technologies such as AI, GenAI, and RPA. These technologies can
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& Undergraduate Programmes (TEUP). Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie
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an emphasis on technology, data science and the humanities. The project led by LKCMedicine, Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health
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optimization, and logistics sustainability. Develop AI models for large-scale data analysis to enhance carbon management. Apply time-series and spatial-temporal data mining to forecast logistics efficiency and
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performance in real-world applications. Utilizing large-scale models and state-of-the-art learning frameworks to analyze complex data, enhance model efficiency, and improve robustness under limited-data