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eligible for social prescribing, and examining referral uptake and engagement with services over a six-month follow-up period. The second strand will extend existing NLP models to detect indicators of social
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genetic screens in Primary and cell line models of T-cell lymphomas and characterize their oncogenic dependencies, and functionally validate them using CRISPR-based genetic perturbation approaches. Through
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Computationally efficient modelling & simulation and applications School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Lingzhong Guo Application Deadline: Applications
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for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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% super Pioneering multicellular interface modelling within an open source framework and three translational case studies. Apply now to develop unified multicellular modelling tools and drive experimental
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for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper
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registered at the MIMME Doctoral School (https://mimme.ed.univ-poitiers.fr/ ). Institut Pprime is a dedicated research unit (UPR) of the CNRS. Its scientific activities span a broad spectrum ranging from
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: 87645BR Supervises staff involved in providing clinical patient care. Assists in ensuring the quality of patient care delivery in a specific patient care area and serves as a role model for professional
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), multimodal vision and language models, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate
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faculty Position Location: Taipei, T'ai-pei, Taiwan [map ] Subject Areas: Atmospheric Science Modeling & Simulation Climate Change Climate Science Appl Deadline: 2026/04/01 04:59 AM UnitedKingdomTime