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Field
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of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates to experimental data and ability to automate data storage
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of the following criteria: Technical competencies Knowledge of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates
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30th September 2026 Languages English English English Build AI digital twins for real-time fermentation control and drive the future of biotech PhD scholarship within Bioprocess Engineering Apply
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 29 days ago
preserved at ambient temperature provided it is protected from light and humidity. Goal The goal of the project is to develop an algorithm to allow robust retrieval of data in the context of DNA-based data
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and the design of body-frame control laws with guarantees of stability and robustness to disturbances, uncertainties and actuation limits; b) the development of robust estimation and sensor-fusion
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slowly, or act quickly but lack robust planning. Frontier models typically depend on heavy compute, cloud inference or controlled settings, limiting real-world use under compute, latency and energy
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methods, fine-tune and align them for specific operational domains, and deploy them locally under full control of sensitive operational data. A central maritime use case will be condition monitoring and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 26 days ago
, controlled information sharing, differential privacy, privacy proxies and confidential computing. Secure agent execution: integrating privacy protections on both the client and server sides so that sensitive
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an exceptional know-how and experimental methodology, in a high-level scientific environment. The context of frequency metrology requires to master and control the noise sources of the experimental setup as
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functional materials. Research activities focus on controlled polymer synthesis, macromolecular engineering, polymer self-assembly, nanoparticle design, and the development of stimuli-responsive polymer