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of optimization and machine learning. • Knowledge of reinforcement learning and black box optimization would be a plus. Skills • The candidate must be comfortable with algorithmic development using
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will be responsible for conducting and optimizing
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14 Apr 2026 Job Information Organisation/Company CNRS Department Cognition, Langues, Langage, Ergonomie Research Field Neurosciences Psychological sciences » Cognitive science Psychological sciences
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dedicated to soft robotics and advanced robotic systems within the DEXTER team at LIRMM in Montpellier, France. He or she will actively contribute to the design, fabrication, evaluation, and optimization
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to leverage machine learning approaches for the optimization of polymer properties and degradation profiles. The successful candidate will lead pioneering research in controlled polymer synthesis, employing
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in firmware development and optimization for microcontrollers and embedded systems. Knowledge of IoT communication protocols (MQTT, CoAP, LoRaWAN, Zigbee, BLE, Wi-Fi, LTE, etc.). Experience in
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-constrained edge hardware. Your primary responsibilities include integrating and deploying SDR platforms — such as USRPs, FPGAs, and Raspberry Pi 5 — and implementing, optimizing, and benchmarking AI and
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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
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and novel biosensing strategies, with the aim of creating new diagnostic tools for liquid biopsy. You will be in charge of: - developing a new version of an optofluidic fiber optimized for plasmonic
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AI-driven network functions). Develop and integrate 6GApp‑like components, including: vertical application logic that reacts to network conditions, network‑application logic (AI‑based optimization