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of large-scale genomic and transcriptomic datasets Experience in high-performance computing environments (e.g., command-line interface, scripting in R/Python, use of common bioinformatics software). Ability
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statistical software such as R. Experience preparing scientific figures, reports, manuscripts, presentations, or other scholarly products. Demonstrated ability to communicate scientific findings effectively
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applying statistical or analytical methods using software such as R, SAS, Python, Stata, or similar tools. Familiarity with public health surveillance systems, environmental health data, geographic
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, or extreme weather impacts on health. Experience with quantitative datasets and applying statistical or analytical methods using software such as R, SAS, Python, Stata, or similar tools. Familiarity with
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management, analysis, visualization, or reporting using software such as R, SAS, or similar tools is beneficial Point of Contact Rachel Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree
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configurations. The software can assimilate large datasets and perform adjoint computations, inverse modeling, and uncertainty quantification. It has enabled breakthrough scientific discoveries and supported
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aided design (CAD), computer aided manufacturing (CAM), manipulation of digital manufacturing software tools, 3D object slicers, support structure optimizers, computer programmings, and scripting