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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
systems) — intermediate to advanced level Sensor signal processing and state estimation (pressure/deformation sensors, inverse-problem solving) — intermediate level, to be consolidated on the job Languages
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with neuroimaging and neural signal processing tools, including fMRI, structural MRI, diffusion MRI, EEG, or related modalities. Strong publication record in AI, machine learning, computational
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Develop, integrate, and evaluate AI/ML models for anomaly
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 21 days ago
) to create an integrated, predictive MDC Digital Twin. This effort will showcase the ability of the new AFERA framework, informed by AI, to synthesize diverse data streams from process data to commercial/in
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 21 days ago
: Experience artificial intelligence, machine learning, digital twin technology, control systems, or computer simulation Point of Contact Cinnamon Eligibility Requirements Degree: Master's Degree or Doctoral
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-signal experimental data. Knowledge of data processing methods using scientific programming and advanced digital tools. Knowledge of safety regulations applicable to corrosive chemical environments, high
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
21 Jul 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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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. The Signal Processing and Communications (SigCom) research group of SnT, headed by Prof. Symeon
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. Proficiency in machine learning, digital twin technology. Previous peer-reviewed publications. Programming skills. Ability to conduct independent research in a multi-disciplinary team. Point of Contact Cinnamon
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Compete 2030 – Programa Temático Inovação e Transição Digital, in its FEDER/FNR component. The present public notice was opened on 31st of May, 2026 by order of the Rector of the University of Aveiro