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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, metabolomic and metagenomics data Large-scale clinical and molecular phenotypes data, including integrative omics studies Evaluation and application of appropriate bioinformatics/statistical techniques, as
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equipment components Procurement of experimental consumables, prototype manufacturing and assembly of wave energy equipment Liaison and organization of large-scale indoor tests of wave energy equipment
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to or even much larger than the total sample size n. We refer to such “large p, small n” data as high-dimensional data. An enduring interest in statistics is to compare the covariance matrices of two high
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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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emerging technologies. Sustainability is a top priority for SC3DP, which offers material development and control services that combine artificial intelligence, big data, and other digital tools for process
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synthesis of novel functional materials. Key Responsibilities: Implement data processing pipelines for materials informatics, including large-scale data mining, curation, and processing. Integrate
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experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics Demonstrated track
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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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up to about 25 MeV, and produce intense bremsstrahlung gamma-ray emission. Large-volume LaBr3(Ce) scintillation detectors and digital pulse processing are central to the gamma-ray spectroscopy system