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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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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: To conduct independent research in large language model. To produce publications in top
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an emphasis on technology, data science and the humanities. We are seeking highly motivated individuals with a strong interest in cancer genetics and genomic medicine to join the research team under Associate
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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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revolutionized our ability to obtain large scale RNA structure and RNA-RNA interactome information in the cell (Aw et al., 2016). This greatly expands our understanding of how RNAs are organized within the cell
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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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model complex brain data. The ideal applicant will have expertise in either systems neuroscience or NeuroAI/machine learning, particularly in analysis of large-scale neural data. The group places a strong
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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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engineering, and 3D structure determination of large/multi-subunit enzyme complexes. Proven expertise in cryo-EM experiment design, execution, and data interpretation. Strong communication and leadership skills