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of the ‘population code’, gaining a causal understanding of how population activity drives actions. The postdoc will work with the PI to develop an independent project, that leverages the expertise of the lab and the
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with large administrative databases or population-based cohorts. Experience with GIS tools and spatial analysis (e.g., ArcGIS, QGIS, R, or equivalent). Prior research in cancer epidemiology
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be able to comprehend graphics displays of physiologic data, distinguish artifact on monitor displays, understand three dimensional relationships and the spatial relationships of structures. Candidate
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project and be able to come up with your own ideas about these projects with minimum supervision. It is expected that a postdoc will introduce new and innovative ideas to the lab work, often without any
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of the ‘population code’, gaining a causal understanding of how population activity drives actions. The postdoc will work with the PI to develop an independent project, that leverages the expertise of the lab and the
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, and Cell Sorting, High Content Imaging, Gene Editing, and Biostatistics. Postdocs can become members of various professional and social networks of trainees fostering peer support and inter-laboratory
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, spatial micro-simulation, and multi-modal data fusion. Supports empirical model building, testing, evaluation, and policy insights. Literature review in the domain areas of mobility, smart cities, and
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on monitor displays, understand three dimensional relationships and the spatial relationships of structures. Candidate must be able to read and understand medical and nursing literature. Exposure to radiation
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knowledge and experience of buildings and energy systems. Specific postdoc duties will depend on the successful candidate’s skills and interests as matched to project needs, with time allowance to pursue
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proposals for postdoctoral fellowships. 5 % 5. Present research findings at local and international conferences. LEVEL OF DECISION MAKING: The postdoc will design and optimize experiments, particularly