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Field
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and hardware security assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and
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dynamics, control algorithms and sensor integration can be designed as a coherent system to improve speed, range, maneuverability, response time and operational robustness while also having underwater
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of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of robust artificial intelligence for industrial process optimisation. The research of this PhD position will
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and quantitative security assessment
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for analysing authentic, synthetic, and manipulated images or videos. The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be
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insights to inform the development and implementation of robust mitigation measures for the achievement of climate neutrality goals. Your duties and responsibilities include: As a PhD researcher, you will
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
the Auctus team at the Inria center of the University of Bordeaux (Talence). Thisthesis falls within the scope of the team'sscientific axis on the design and control of robotic systems. The project will
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, synthetic, and manipulated images or videos. The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be paid to performance
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introduce processing artifacts, creating a direct barrier to robust and reliable AI classification. AI4IV’s mission is to address these limitations and become a leader in AI for vision by providing