8 modelling-complexity-geocomputation Fellowship positions at Northeastern University
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language 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
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pharmacology and modeling strategies and building clinical pharmacology and pharmacometrics models to support dose selection at various stages of drug development. The Fellow will support the Clinical
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metrics from massive volumes of complex data obtained from model simulations and/or remote and in-situ data. Stakeholder knowledge, such as, of cascading interdependence, can ground the models through
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adolescents and/or interest and expertise in complex social processes, the ability to effectively manage a research team, and experience using advanced quantitative methods, including computational modeling
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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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participation in our Teaching and Learning Seminar series Facilitate small and large group didactic education in partnership with a faculty mentor Utilize a layered learning model in experiential education by co
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teaching skills through participation in our Teaching and Learning Seminar series Facilitate small and large group didactic education in partnership with a faculty mentor Utilize a layered learning model in
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essential to both the development of a commercialized therapeutic product and management of that product throughout its life cycle. The fellow will contribute to the design and implementation of complex