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Field
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-on expertise with assembly and sealing of small-scale fluidic systems. General knowledge of sensors and electronics, sufficient for close collaboration with chemistry and electronics teams, is preferred
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, 2022) and extended this to the triple equivalence between neural dynamics, Bayesian inference, and algorithmic computation (Commun Phys, 2025). -We validated it within in vitro neural networks (Nature
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Electronic Engineering At UCD, we're developing a novel optical tactile sensor that gives robots a human-like sense of touch enabling them to securely yet gently handle soft, fragile, or irregular objects like
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data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms. Assist with organizing large-scale multimodal neuroimaging dataset, brain
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functions in a non-invasive way through sensing the tiny magnetic fields produced by neuronal currents. Today, this need is primarily met by quantum sensors that must be operated at cryogenic temperatures
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of developing wireless, implantable sensor technologies aimed at transforming orthopedic care and regenerative medicine. The lab specializes in engineering battery-free, resonance sensors, such as inductive
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2 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique et des Systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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experimentally validate sensors and AI software for medical imaging, 2) Integrate pioneering and proven tools for the early cancer detection, and 3) Examine clinical workflows and validate the established systems
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learning on large-scale HPC systems Scalable and energy-efficient AI training algorithms Image reconstruction, segmentation, and spatiotemporal modeling High-performance computing for large-scale AI and
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Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data