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of the Institut Polytechnique de Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies
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deficiency (LSCD), which leads to blindness and currently has no effective treatment options. The research group uses various transgenic and traumatic models of LSCD, and your responsibilities will include
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solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI capabilities into existing systems to improve efficiency, accuracy, and service quality
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stem cell models that allow us to model disease and disease modifying factors. The successful candidate will be responsible for supervising graduate students, post-doctoral fellows, and undergraduate
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that combine AI and traditional modeling and simulation (ModSim). You will work with cutting-edge exascale systems and novel AI hardware, collaborating closely with science application teams, academia, industry
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, Shanghai 200433, China [map ] Subject Area: Model Theory Starting Date: 2026/09/01 Appl Deadline: 2026/05/17 11:59PM (posted 2025/11/19, listed until 2026/05/17) Position Description: Apply Position
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=false , https://link.springer.com/article/10.1186/s13059-025-03692-6 , https://link.springer.com/article/10.1186/s13059-023-03064-y ), Linear Mixed Models and GWAS. ● Familiarize with the sequencing
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Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications We are looking for a researcher with strong experience in statistical physics applied to molecular modelling
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contribute to advanced analyses of air quality monitoring data, emission modelling and scenario studies related to livestock farming and environmental health. RDFV-II is a large public–private collaboration
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motivated Research Engineer skilled in computational modeling and basic laboratory techniques to join our dynamic laboratory team. We are working on multiple tissue engineering projects for improving human