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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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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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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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that guide activities such as scientific communications, healthcare professional and patient engagement, and the development of educational and promotional materials. The role will be built on a rotational
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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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to collaborate with Prof. Robert Riener at ETH Zürich, a leader in Rehabilitation Robotics. Projects span human subjects research, computational modeling, and robotic technologies. This position is ideal
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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