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/ information/ proposal required for research-related grant call process Conduct experiments related to lipids and sporopollenin-based drug delivery Conduct interpretation and application of experimental results
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Responsibilities: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety
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, lamination, and testing. He/she will contribute to the development of new application driven materials and production processes, located mostly at Nanyang Technological University. Key Responsibilities: Lead
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to InSAR and other remote sensing observations. Successful candidates will have a Bachelor’s degree in a relevant field (e.g., earth science, civil / electrical engineering, image processing, and deep
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evaporation process Job Requirements: Bachelor in Materials Science and Engineering, Energy system, Applied Mathematics, or related field. Experience in Perovskite materials and solar cells Expert in Perovskite
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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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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, 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