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on analysing modern and historical textual records through the lenses of graph-network analysis, statistics and machine learning. The topics include: * Topic: Networks in Historical Scholarly/Philosophical
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the lenses of graph-network analysis, statistics and machine learning. The topics include: * Topic: Networks in Historical Scholarly/Philosophical Writings Analysis of late medieval scholarly manuscripts
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are particularly welcome: a) Design of robotics structures / Reconfigurable robotic structures. b) Bio-robotics / Soft-robotics / origami robots. c) Human-robot interaction-cooperation. d) Machine learning. e) Field
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-robotics / origami robots. c) Human-robot interaction-cooperation. d) Machine learning. e) Field robotics. f) Vision / Perception / Prediction Are you an ambitious researcher with a
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, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon fuels and for hydrogen production, distribution/delivery, and use, also extended to new materials
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: Predictive modelling and process optimization, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon fuels and for hydrogen production, distribution/delivery, and
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). Artificial intelligence: Predictive modelling and process optimization, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon fuels and for hydrogen production
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stability (eg runaway reaction). Artificial intelligence: Predictive modelling and process optimization, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon