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, side-averaging, and GLIM. These tools provide new opportunities to explore the Golgi from previously inaccessible angles. Using them, we have gathered preliminary data suggesting dynamic changes in Golgi
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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be in close collaboration with experimental and clinical collaborators and will provide resources for large-scale data generation and full access to the latest long read sequencing technologies
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computational materials science techniques (DFT, MD, machine learning force field modelling) with data-driven approaches. Work with team to design and implement high-throughput experimental workflows for rapid
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to conduct AI for medicine research. The role will focus on developing foundation models to medical image
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. • Maintain expertise in state-of-the-art data manipulation and statistical analysis. • Strategic and scientific contributions at the indication/protocol/integrated analysis level. • Oversee large scale
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an emphasis on technology, data science and the humanities. LKCMedicine is searching for a Research Associate/Fellow in the field of Learning Analytics (LA) / Machine Learning (ML) under Professor Andy Khong
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of quantitative analytical methods to large datasets. Study key trends and gaps in agricultural sustainability in Southeast Asia. Coordinate and organize workshops with international collaborators. Presentation
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physical activity and/or diet) or environmental epidemiology. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical