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for implementing multimodal sensors, particularly in the automotive applications. Knowledge of engineering design, human factor, control, optimization, FEA simulation and experience in sensors will be considered
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We are seeking a highly motivated research Assistant to contribute to research project focused on photopolymer resin formulation and 3D printing optimization. This project aims to develop and
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the Intelligent Automation Lab (IALab, MC503) focused on the development of a robust and trustworthy forecasting and optimization agent for engineering applications. The role is research‑intensive and involves
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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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scientific writing, towards to OR research community. • Willingness to learn new knowledge on resource allocation and data-driven optimization, particularly in the latest development. • Communication
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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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information, or quantum algorithms Knowledge of machine learning (e.g., deep learning, optimization, or learning theory) Programming skills in Python and experience with scientific computing (e.g., NumPy, SciPy
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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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processing, mining, chemical or geological engineering, or a PhD in a related field with mining/mineral processing experience. Knowledge of process mineralogy, froth flotation through past research, coursework
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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