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collaboration with the High-Performance Computing Centre of NTU. In addition, EOS hosts state-of-the-art analytical facilities for petrological and geochemical analysis, and a Community Engagement office that co
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Comparative Social Policy (International) (IMCSP), and an MSocSc Programme in Sociology and Data Analytics (MSoDA), and has been successful in attracting MPhil and PhD students from around the world, as
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About the role We are seeking a highly motivated Research Associate/Fellow to join a multidisciplinary team developing advanced MRI and sensor data analytics methods to improve our understanding
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, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models
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develop novel theoretical frameworks and algorithms for quantum-enhanced learning and intelligent agents, with research directions including quantum advantages in data-sparse learning, quantum algorithms
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, partnerships, data, analytics, and innovative technologies across CDC and partner organizations to strengthen the nation's ability to identify and understand emerging biological threats. Artificial intelligence
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research dissemination activities. Collaborate with interdisciplinary researchers and supervise student assistants involved in the project. Job Requirements: PhD in Information Systems, Business Analytics
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design, laboratory techniques, data analysis, and scientific communication. Assist with laboratory organization and administration, including ordering, inventory management, equipment maintenance, protocol
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integrating genomic and -omic data, echocardiographic imaging, and clinical information. This position will support the Multi-Omics and Sonography to Advance Integrated Cardiac Care MOSAIC Study, a newly funded
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organic methodology. Key Responsibilities: Conduct routine lab research and data analysis in asymmetric transition metal catalysis. Mentor junior researchers and teach organic chemistry lab skills, oversee