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Field
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! Job Description Quantum computers and quantum sensors require electronic interfaces that can operate reliably at cryogenic temperatures. However, conventional room-temperature electronics rely
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numerical simulations (primarily electromagnetic but also multi-physics modeling) while conducting technical assessments and literature reviews of emerging classical and quantum sensor technologies to inform
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engineering, computer science, or similar. Strong written and verbal communication skills in English Experience in programming, mathematical modeling and simulation Personal competences in accordance with
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). Experience with human-factors instrumentation and data streams: eye tracking, physiological sensors, and motion capture. Familiarity with data/video coding tools and computer vision (e.g., OpenCV, scikit-learn
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risk assessment. Interests include sensor-to-model translation, computer vision, scientific machine learning, surrogate and reduced-order models, inverse design, and interoperable digital twins
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models of airflow dynamics, i.e., CO2 level, temperature, humidity, using microclimate sensor and CFD simulation data from other researchers. Optimal sensor and actuator placement, aiming at cost and
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actuation, feedback and computation across their soft bodies, blurring the boundary between material and machine. Our work hints that key platforms to capture such material intelligence are ‘robotic materials
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selection criteria Knowledge of sensors and measurement techniques Experience from the industry providing sails for merchant ships Experience with Computational Fluid Mechanics Knowledge of machine learning
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
23 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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, sensor packages, and mission-system components; identify architectural gaps, legacy-code issues, inefficient computations, fragile interfaces, and recommended corrections. Requirements Management (20% FTE