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science, nutrition and health. The project combines food pro-cessing, analytical chemistry, (in vitro) digestion models and human intervention studies to better understand how processing-induced changes in
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Biology, Molecular Biology, a related field or MD in human Medicine Interest in CRISPR-based genetic screens and gene editing Enthusiasm for working with organoid models (or willingness to learn) Some lab
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models. Present research findings at group meetings and scientific conferences, and contribute to the preparation of manuscripts and reports. Where to apply Website https://jobs.vhir.org/jobs/8199364-phd
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
benefit from the hardware and software resources of the lab experimental platform. The student will be supervisedthroughoutthePhD by Margot Vulliez and David Daney, researchers specializing in modeling and
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mathematical modeling systems for data analysis problems; ii) Develop data management systems; iii) to promote the dissemination and exploitation of the results generated in the project. 4. Objectives: Develop
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with familiarity with foundation models (e.g. vision language models) and the ability to design and prototype innovative, reliable and reproducible solutions for complex 3D scene understanding tasks
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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to the development of energy models; • to access complementary experimental platforms; • to strengthen Franco-Canadian scientific collaborations. The project also benefits from industrial support through
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) benchmarks often prioritize leaderboard scores over practical utility, failing to capture how models behave in real-world, socially situated contexts. This PhD project treats evaluation methodology as a
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when manipulated content is used to incite hostility toward marginalized groups. While large language models (LLMs) offer potential for fact-checking and counterspeech, current systems often struggle