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Field
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complex socioeconomic, environmental, and molecular data in the context of multigenerational families. · (Co-)developing predictive models based on very large registry, medical, social/environmental
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material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element
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theories. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 12 days ago
-Assisted Intervention, Oct 2024, Marrakech, Morocco. pp.1-10, * B Lodé et al. Evaluation of an Automatic Segmentation Model as an Aid to Detect Multiple sclerosis Spinal Cord Lesions. European radiology 2025
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-generation AI (in particular Large Language Models and Agentic AI systems) in these tasks. These investigations include the feasibility, practicality and success evaluation of prototype implementations
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Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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compact models. Compact models are the optimum trade-off between the required physical functionality and computation intensity. As such, they enable the simulation of advanced and high-integration-density
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40h/week Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description VHIR offers a
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operational efficiency. Led by Professor Chris Holmes, the centre will initially focus on the following thematic areas: Decision analysis under model misspecification Uncertainty quantification around LLMs
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into how linguistic information is stored and retrieved, and how language use is intertwined with memory during communication. The model will be hybrid, merging linguistic factors uncovered in computational