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not limited to) identifying effective tutoring practices, running experiments on AI tutors in simulated and real-world environments, fine-tuning AI models to classify qualitative data, and building
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migraine and other headache disorders, neuroepidemiology, and other neurodegenerative disorders. We use advanced biostatistical modeling, artificial intelligence (AI), machine learning, and neuroinformatics
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the non-human primate (NHP) model by exploring innovative mRNA constructs for immunogen delivery that can elicit both protective and therapeutic B and T cell responses. Recently, Dr. Williams was also
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modelling, data analysis and interdisciplinary approaches, our work investigates pathways to improve the resilience, efficiency and long-term sustainability of solar energy deployment. In this role, you will
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/2026 Back to Search Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics Posting Number req26727 Department Biosphere 2 Department Website Link https
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-term home monitoring of motor impairments in stroke and Parkinson's disease patients. The position is based at TU Delft, with part of your time spent on-site at Model Health (Leuven, Belgium) for the
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About the Opportunity AI-Driven Ultrasound and Intelligent Sensing: We are seeking a postdoctoral researcher to work on quantitative ultrasound methods, focusing on the application of model-based
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
biochemical and molecular assays, cellular models, and in vivo genetic screens- to develop, test, and validate mechanistic hypotheses with potential therapeutic relevance. This position offers an opportunity
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. PMID: 20227371 Lab website:https://www.med.upenn.edu/apps/faculty/index.php/g275/p20138 https://www.med.upenn.edu/yanglab/ Qualifications Applicants should have recently earned, or be nearing completion
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of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically relevant cardiac rhythm patterns, predict disease progression and treatment response, and support personalised