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Field
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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techniques to improve stability, as well as reactor engineering towards real-world applications. Our recent highlights include the introduction of floating artificial leaves, pixelated oxide-based
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for a cohort of outstanding Postdoctoral Research Fellows with deep expertise in quantitative data analysis, data science, and artificial intelligence (AI). These fellows will join a dynamic
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project: Atropisomerism as an Enabling Technology for Foldamers. This research programme aims to develop a new class of artificial oligomers – atropisomeric foldamers – in which molecular conformation is
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orientado para o desenvolvimento e implementação de sistemas avançados de cibersegurança, inteligência artificial e ciência de dados na administração pública, bem como de um programa de capacitação científica
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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artificial intelligence-driven pupillometric and eye-tracking strategies to detect ocular and cerebral neurodegeneration. The successful candidate will be part of a versatile research group from NUS and the
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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contribute to a new research project on Artificial Intelligence (AI) for mental health. Key Responsibilities: Lead and conduct research on AI-mediated communication in emotional and mental health contexts
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incorporates the use of Artificial Intelligence tools to evaluate and adapt knowledge management practices. The candidate will conduct systematic literature reviews, critical analysis, data collection through