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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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mission to ignite positive changes in the quality of health across the world. The Department of Epidemiology is seeking 2-3 postdoctoral researchers for projects related to mathematical modelling and
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to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our
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national survey data Participates in development and implementation of population-level disease simulation models to evaluate the impact cost-effectiveness of various health policy interventions on reducing
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findings resulting in publication.Responsibilities include:Research and translate exposome data science into real-world clinical applications Help to design exposome foundation models for disease physiology
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
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to work on mental health research with real-world implications. Responsibilities include: Work with the research team to support the design, development, and implementation of ML models. Support
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Faculty Affairs and the Office of Human Resources. Contributes to the mission and vision of HSDM and models the School’s core values in all facets of the work. Performs other related duties as assigned
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data · Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling · Clear scientific writing and communication, an ability to work both independently and in teams
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, neuroprosthetics or neuromodulators, peripheral nerve surgery, neural interfacing models Track record of disseminating research through impactful publications and presentations (at least 3 first author publications