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theoretical formulation Year 2: Metrics and theoretical development o dependence quantification (IF, Shapley, MI) o first publications Year 3: Verifiable unlearning and system integration o cryptographic proof
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
learning in humanoid robotics for industrial applications. In this project, our goal is to recruit one to two engineers to contribute to: the development of deep learning-based vision tools adapted
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rely on the development of models integrating different data sources, initially based on data simulations, consistent with the data sets that are actually available or planned for acquisition, as
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to the development of an innovative microphysiological system dedicated to modeling human beige adipose tissue organoids in a controlled metabolic environment. The candidate will design and implement advanced 3D
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 2 months ago
collaborations, depending on the evolution of the work and the experimental setup. There is no industrial partnership associated with this project. Assignments : With the help of the scientific supervisors
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purifying proteins from bacterial expression systems. -Participating in quantitative interactomics experiments and data analysis. -Development of cellular assays to validate interactions Required
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other Deputy Directors and with the support of the Finance Directorate; Participating in the development, implementation, and monitoring of the multiannual strategy and the annual objectives roadmap
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-21-CE08-007 ended in March 2025). The work in N POLAR will focus on the development and optimization of this innovative process (hybrid semiconductor/metal/semiconductor heterostructures) in order to
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via an interaction with the RIPK2 protein. (Fulda, Clin Cancer Res, 2015) The design of molecules that disrupt the XIAP/RIPK2 interaction could lead to the development of original and more selective