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hours to a few days) are difficult owing to model and data limitations, the importance of extremes and anomalies, as well as the need to appropriately blend physics with AI. 2. Theme 2 (“Downscaling
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems
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regulatory interactions and disease education & awareness Network meta-analysis: indirect and mixed treatment comparisons (ITC/MTC) Health economic models (cost effectiveness analysis [global and country
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model, allowing for experience in Scientific Communications/Publications, Medical Information, Medical Strategy under the Medical Director, and field engagements via Medical Science Liaisons. The fellow
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factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and
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of educational and promotional materials. The role will be built on a rotational model, allowing for experience in Scientific Communications/Publications, Medical Information, Medical Strategy under the Medical
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of educational and promotional materials. The role will be built on a rotational model, allowing for experience in Scientific Communications/Publications, Medical Information, Medical Strategy under the Medical
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care worldwide. Through a phased training model, the program emphasizes both foundational knowledge and leadership development to prepare fellows for a successful career in the pharmaceutical industry
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-located JAX Portland research site. The postdoc will contribute to and help lead projects related to the development and validation of models in the precision health domain that aim at diagnosing various