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cortex, analyze neuronal population data, and build generative or predictive models to simulate cortical responses. The position requires strong experimental engagement and a collaborative mindset within a
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at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu/labs . D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no
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predictions and serving as author on methodological publications. Other work will include running simulation studies, applying the methods to electronic health records (EHR) and clinical trial datasets, and
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predictions and serving as author on methodological publications. Other work will include running simulation studies, applying the methods to electronic health records (EHR) and clinical trial datasets, and
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; if you have any questions, please contact d3@harvard.edu. All applications should include the following: Curriculum vitae Copy of academic records (unofficial records are acceptable) 2-page research
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on research activities at our research labs. D^3 conducts research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu/labs . D^3 is looking
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at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu/labs . D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no
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at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu/labs . D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no
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simulation studies, applying the methods to electronic health records (EHR) and clinical trial datasets, and collaborating on dissemination through open-source R packages and associated tutorials