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-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building automated finite element and inverse-identification workflows that learn
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/Absorption Spectroscopy preferred). Demonstrated experience with high-speed imaging, data acquisition, and complex optical alignment using lasers and advanced detectors. Experience processing dense
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integrated circuits (ICs) for advanced imaging and edge computing applications, exploring novel approaches to integrating sensing and pixel-level processing. The research involves full-custom chip design using
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 7 days ago
2 Oct 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 5 days ago
(videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage Selection process Website for additional job details https
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developing an AI-based digital twin to generate mechanistic targets and design therapeutic molecules using a dynamic prototype. IROC has generated datasets on mechanistic targets that need to be studied in
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strongly interdisciplinary background, being used to collaborate with engineers, clinicians… You have experience in medical image analysis and processing, computational modelling, AI/machine learning, and
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federated learning platforms. Knowledge of explainable AI (XAI), uncertainty estimation, and clinical validation of models. Prior scientific publications in AI, medical imaging, or digital health. Ability
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including experience with machine learning, natural language processing, or AI methods applied to health data. • Demonstrated expertise in one or more of the following areas: digital health, health AI, health
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital