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undertaking under the AIDF. Pioneering the "public good" credit risk measures, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and
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the area of efficient and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design
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. Technical Skills: Proficiency in medical statistics, data science, and applications across various domains. Skills in processing and analyzing large datasets, data wrangling, visualization, big data analysis
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foundation in areas such as data analysis, machine learning, AI, computer vision, large language models, Agentic AI or human–computer interaction. Excellent oral and written communication skills. Resourceful
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, MATLAB and R • Experience in spatial analysis • Experience in using large-scale data sets • Have strong publication records • Excellent scientific writing and communication skills More
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. Our group develops machine learning algorithms to automatically generate discoveries from large-scale brain imaging data. We aim to uncover fundamental principles of healthy brain development
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Intelligence Institute (NAII), we are looking for a suitably qualified candidate to provide event logistics and administrative support. In a calendar year, the Institute hosts a diverse range of small and big
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and diffraction phenomena To develop an in-depth understanding of the underlying physics of electromagnetic scattering and diffraction from large and complex object in practical environment
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School of Public Health, National University of Singapore (NUS), invites applications for a full-time Research Assistant/Associate position to support data processing and analysis for a large-scale and
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with a plan for future growth. This role will also play a big part to transform the current data platform technologies into cloud based. This is a hands-on leadership role and the candidate should have