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neural networks on synchronised video, audio, and text data to automatically detect how gestures or gaze contribute to meaning in conversations.- Bridging cognitive science and AI to model how humans
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of the way. With 3,200 m² of state-of-the-art lab facilities, housed in a museum with more than 40 million natural history objects, dedicated mentorship, and access to our broad international network
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at the Erasmus Graduate School for Social Sciences and the Humanities. You will be embedded in lively PhD Networks both at ESSB and IHS which helps you to find your way in academia. Where to apply Website https
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Challenge: Building self-organizing edge infrastructure that seamlessly adapts across terrestrial, cloud, and satellite networks. Change: Creating autonomous systems that unify edge orchestration
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have the opportunity to attend courses at the Erasmus Graduate School for Social Sciences and the Humanities. You will be embedded in lively PhD Networks both at ESSB and IHS which helps you to find your
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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, conformance checking, and performance analysis rely on algorithmic approaches to extract patterns, detect deviations, and identify inefficiencies from event logs. Although these techniques have proven effective
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. This simple unit is limiting the learning capabilities of recurrent neural network models in tasks characterized by multi-timescale and long-range temporal dependencies. To implement multi-scale adaptation, in
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Would you like to work at the intersection of transportation, robotics and machine learning to design mixed fixed-flexible transport networks? Job description The increase of public transport usage
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of mixed fixed-flexible transport networks? Job description The increase of public transport usage has clear potential in transforming our environment to be more liveable, sustainable and convenient. However