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Additional Information Eligibility criteria Knowledge PhD in Biomaterials, Biomedical Engineering, Bioengineering, Materials Science or a closely related field. Strong background in biomaterials, tissue
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identify candidate proteins associated with the formation and development of infectious parasite stages. LCCL domains are found in proteins associated with developmental and structural processes in several
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19 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire Navier Research Field Engineering Physics » Acoustics Engineering » Materials engineering Researcher Profile First Stage
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candidate for this position should hold a PhD degree in Electrochemistry, Chemical or Materials Engineering and expertise in X-ray scattering (PDF, BCDI or WAXS) or electron microscopy (HR-TEM). Core
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candidate who has a strong quantitative background, with a PhD in Computational Mathematics, Applied Mathematics, Computational Mechanics, Geosciences, Acoustics or Simulation engineering. The candidate
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provides a collaborative environment bringing together fundamental and clinical research, with access to state-of-the-art core facilities in genomics, imaging, flow cytometry, animal experimentation and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
: The recruited person will be in connection with the hardware engineer recruited in parallel on task T3.3, who designs and fabricates the physical actuated phantom prototype, for the joint integration and
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processing, analysis, and interpretation. 3) Developing innovative methodologies to improve the understanding of sediment dynamics. 4) Co-supervising the recruited study engineer within the project and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 15 hours ago
million commits. Most existing tools still treat code at the level of individual text files, which limits their ability to scale when changes span many files (e.g., automated refactorings, dependency
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developing an AI-based digital twin to generate mechanistic targets and design therapeutic molecules using a dynamic prototype. IROC has generated datasets on mechanistic targets that need to be studied in