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clinically relevant model, this project will investigate innovative approaches to ovarian tissue preconditioning, cryopreservation and post-thaw recovery, bringing together reproductive biology, cryobiology
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: 1147547 Position Summary The Biomechanics Lab in the Department of Mechanical Engineering at Michigan State University is recruiting a Postdoctoral Research Associate to work on computational modeling
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neuroscience. Within this framework, AI models are co-developed with domain experts to unlock concrete biological questions and accelerate their translation to clinic. The large and interdisciplinary research
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Immunologist to join our team as a postdoctoral researcher. At a minimum, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially
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. This project aims at modeling the planetary systems and magnetic topologies of M dwarfs, monitored with the SPIRou near-infrared spectropolarimeter at the Canada-France-Hawaii Telescope (CFHT) since 2019 in
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prognostic markers for psychosis in youth at clinical high risk, using state-of-the-art AI models and multimodal neuroimaging, clinical, and cognitive data. The position will emphasize advanced computational
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conditions. The successful candidate will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that lead
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
would be working with animal models of multiple sclerosis (EAE). Additionally, will mentor and oversee graduate students involved in the work, and actively contribute to collaborative efforts across
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, including the PBWT/GBWT family of haplotype algorithms for biobank-scale identity-by-descent (IBD) detection, the Med-BERT and CovRNN clinical foundation models for electronic health records, and the UDIP
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publication record. Demonstrated experience analyzing other Canadian public transport projects. Proficiency in discrete choice and behavioral statistical modelling using R. Proficiency in microsimulation and