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managing human subjects research and handling sensitive data is preferred. • Strong quantitative skills, including proficiency in regression modeling, environmental mixtures analysis, and spatial methods
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the remotely sensed LST to compute the spatial statistics, run the HydroBlocks model over the Contiguous United States, and evaluate model deficiencies and model improvements to improve the modeling of spatial
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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research. Interests and/or background in Arctic research, hydrological modeling, surface water fieldwork, community engagement, and/or spatial statistics are also a plus. PROJECTED START DATE There is
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organoids, CRISPR-Cas9 gene editing, single-cell RNA/ATAC-seq, and spatial transcriptomics. A PhD, MD, MD/PhD, or equivalent degree in biomedical sciences-related fields and a track record of publications in