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Science in Geospatial Data Sciences. Our faculty members are actively engaged in research spanning three key themes: Geospatial Data Sciences (e.g., remote sensing, geographic information science - GIS
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research, risk prediction modeling, population and medical data linkage, geospatial data mining, multi-omics data integration, and artificial intelligence (AI) applications in health sciences, such as causal
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integrating heterogeneous datasets Proficiency in agile methodologies for team management and project execution Knowledge of geospatial data infrastructure and data cube technologies is an asset Soft Skills
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epidemiology, biological and social drivers of cancer burden, genetic and -omics epidemiologic research, bioinformatics, and/or geospatial mapping. Demonstrated ability to collaborate with a transdisciplinary
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epidemiology, biological and social drivers of cancer burden, genetic and -omics epidemiologic research, bioinformatics, and/or geospatial mapping. Demonstrated ability to collaborate with a transdisciplinary