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Field
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artificial intelligence, computational cognitive science, human-computer interaction, computer science, information systems, or another relevant field. - A keen interest in pursuing interdisciplinary research
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aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its trunk around an object. Unlike traditional robots
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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Prevention through Design and Planning (PtD/P), risk assessment, and safety compliance checking processes, and new performance requirements and measurement (metrics) for both lean and safe workflow planning
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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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spectroscopy and signal-processing techniques. Ideally, you have experience with lasers and/or spectroscopy and programming (i.e. Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical
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and utility systems necessary for their operation (e.g., electrical, water, telecom., transport networks); perform an integrated multi-hazard fragility and vulnerability analysis of CI using different
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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“RIPLEY,” led by Dr. Cosimo Della Santina. The project aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its
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organization for more than 12 months in the three years imme-diately prior to the recruitment date. Compulsory national service and/or short stays such as holidays are not considered. Selection process The