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Field
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Materials Experience thinking with biosensing, together with a toolkit, including a sensor-based system, for studying human-material experiences with temporal and biofabricated textiles. You will then apply
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with advanced control methods. The research will therefore explore RL algorithms that not only operate optimally against such competing objectives but also effectively under uncertainty, changing
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integrated with optimization algorithms to support faster, more robust, and more adaptive decision making. The project addresses research questions like: How can learning-based models be integrated with
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of marine ecosystem monitoring across spatial and temporal scales. The project will include work with remote sensing, autonomous sensors, environmental monitoring technologies, data integration, and system
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erythrocytes, alongside biomarkers of inflammation and oxidative stress. Using combined laboratory and clinical data, empirically derived algorithms for subphenotype identification will be developed through
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catheter probe based magnetic sensors for biological applications. To perform quantum sensing, we optically read-out the NV centre's electron spin state to quantify the perturbing effect of nearby
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the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will
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14 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Recherche en Informatique de Lens Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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benchmarking and performance analysis against state-of-the-art studies Perform numerical modeling and validation of brain-inspired and neuromorphic algorithms Design, set up, and operate experimental systems
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sensor data, and (iii) sophisticated fatigue analysis models combining advanced fracture mechanics with crack initiation and growth simulation. Additionally, you will explore fatigue mitigation strategies