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of the project, including data processing, compilation, visualization, analysis, manuscript writing, and interpretation and dissemination of results. Candidates must have experience in health research and spatial
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of computational tools and pipelines for spatial, temporal, and multi-omic data Support the synthesis of pilot findings and contribute to future research directions and proposals Equal Employment Opportunity
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Position Summary The Michigan State University-Hurley Children’s Hospital Pediatric Public Health Initiative (https://msuhurleypphi.org/ ) in the C.S. Mott Department of Public Health at Michigan
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in microfluidics, sample preparation, molecular barcoding, and advanced techniques for single-cell and spatial multi-omics analysis Biomaterials and Regenerative Medicine –stem cell, cell and tissue
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work on cutting-edge empirical research related to policy evaluation, climate impacts, and market analysis, leveraging synthetic control techniques to address spatial dependencies and causal inference
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-oriented analysis and design. Fluency in Python and SQL. Ability to grasp a variety of spatial and temporal data formats. Familiarity with or ability to learn to work with legacy code in FORTRAN, shell
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in microfluidics, sample preparation, molecular barcoding, and advanced techniques for single-cell and spatial multi-omics analysis Biomaterials and Regenerative Medicine –stem cell, cell and tissue
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Position Summary The position provides support for a NASA funded research project. Knowledge and skills in spatial modeling, data/information synthesis of qualitative and quantitative data
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at MSU. Founded in 2015, CMSE recognizes computation as the “triple junction” of algorithm development and analysis; high performance computing; and applications to scientific and engineering modeling and