Circulation Services: Facilitate the borrowing process by managing loan requests, returns, and the generation of overdue notices.
Information Alerts & Newsletters: Assist in uploading of Information Alerts and dissemination of newsletters to internal and external stakeholders.
Digital Archiving: Coordinate with departments to acquire photographic assets; Curate and metadata-tag assets for the Library’s digital archive to ensure searchability.
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Apply suitable quantitative and/or qualitative methods, including descriptive analysis, cross-tabulation, hypothesis testing and regression analysis.
Familiarity with more advanced methods such as factor analysis, clustering, segmentation, longitudinal analysis, causal inference approaches or latent variable modelling would be an advantage.
Apply suitable quantitative and/or qualitative methods, including descriptive analysis, cross-tabulation, hypothesis testing and regression analysis.
Familiarity with more advanced methods such as factor analysis, clustering, segmentation, longitudinal analysis, causal inference approaches or latent variable modelling would be an advantage.
Apply suitable quantitative and/or qualitative methods, including descriptive analysis, cross-tabulation, hypothesis testing and regression analysis.
Familiarity with more advanced methods such as factor analysis, clustering, segmentation, longitudinal analysis, causal inference approaches or latent variable modelling would be an advantage.
Support transversal knowledge across cybersecurity schemes , regions, and regulatory systems (e.g., mandatory requirements, voluntary schemes, and emerging regulations).
Advise GMA leaders and managers on strategy definition , initiative prioritization, regulatory developments, and performance monitoring related to cybersecurity offerings.
Analyze and assess new, emerging, or complex cybersecurity regulations beyond current coverage, including their impact on customers, platforms, and UL service models.
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Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
Solid data structure/algorithm foundation, proficient in machine learning/deep learning theoretical knowledge, and rich practical experience.
Familiar with NLP, sentiment analysis, CV, multimodality, graph algorithm, search algorithm, text/data mining in 1-2 areas.
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Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
Solid data structure/algorithm foundation, proficient in machine learning/deep learning theoretical knowledge, and rich practical experience.
Familiar with NLP, sentiment analysis, CV, multimodality, graph algorithm, search algorithm, text/data mining in 1-2 areas.
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Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
Solid data structure/algorithm foundation, proficient in machine learning/deep learning theoretical knowledge, and rich practical experience.
Familiar with NLP, sentiment analysis, CV, multimodality, graph algorithm, search algorithm, text/data mining in 1-2 areas.
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Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
Solid data structure/algorithm foundation, proficient in machine learning/deep learning theoretical knowledge, and rich practical experience.
Familiar with NLP, sentiment analysis, CV, multimodality, graph algorithm, search algorithm, text/data mining in 1-2 areas.
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Collaborate with the Office of Legal & General Affairs (OLGA) to ensure compliance with SMU IP policy and IP laws and regulations.
Collaborate and advice the Office of Research Governance & Administration (ORGA) and Office of Industry Engagement (OIE) on the treatment of IP in research collaboration with academic institution or industry.
Develop and implement robust policies and procedures for effective IP management.
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