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and technical framework that operationalizes security for ML pipelines, enabling organizations to deploy AI systems that are both performant and trustworthy. Mission The PhD candidate will conduct a
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and technical framework that operationalizes security for ML pipelines, enabling organizations to deploy AI systems that are both performant and trustworthy. Mission The PhD candidate will conduct a
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engineer/PhD in computer science Field of training: networks, distributed systems, embedded systems, vehicular networks LanguagesFRENCHLevelGood LanguagesENGLISHLevelGood Additional Information Benefits
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to counter this by embedding security from the earliest stages of the software development lifecycle, particularly during requirements and design [2] [5] [8] [9]. However, this ambition is constrained by a
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to counter this by embedding security from the earliest stages of the software development lifecycle, particularly during requirements and design [2] [5] [8] [9]. However, this ambition is constrained by a
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Learning systems: Attack Objectives Implement diffusion-based gradient inversion attacks inspired by GGDM [5], conditioning the diffusion process on client gradients or embeddings to reconstruct original
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22 Sep 2025 Job Information Organisation/Company Université de Toulouse Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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reconfigurable. This task requires extensive coupled optimization (piezoelectro-mechanical), hence computational, sensor/actuator and metamaterial expertise is of key importance. This PhD programme will be
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Ecole Supérieure de Physique et de Chimie Industrielles | Paris 15, le de France | France | 20 days ago
. Profile: We look for a PhD, or having an engineer degree, having a strong interest and background in physico-chemistry of soft matter and in microfluidics but also who is pas- sionate for projects
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with scientists and engineers from these three laboratories, as well as with two PhD students and another postdoctoral researcher recruited through JET2SB. The position is embedded in a highly dynamic