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, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine
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microscopy, or related techniques, with a demonstrated interest in biophysics and quantitative analysis of complex biological materials. The project focuses on single-particle and single-virion
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, develop and optimize advanced MS methods in metabolomics (including EAD workflows), data analysis and support collaborative studies with Henry Ford Health. Detailed description of work/duties: Research
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to be involved in a leading role in a range of quantitative and qualitative data collection and analysis activities. They will also have opportunities to mentor both graduate and undergraduate
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interested in cross-disciplinary research that combines molecular biology, crop science, genetics, genomics, and data analysis for biological discovery and crop genetic improvement. The successful
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, biodiversity), U.S. agricultural and conservation policy, and / or Process-based ecosystem models and their outcomes Knowledge of statistical analysis, and experience using one or more statistical computing
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collection, data management and statistical analysis, interpretation of results, and preparation of scientific manuscripts, presentations, research reports, and other research materials. The individual
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to ocean nutrient cycles. Primary responsibilities include: Computational analysis and interpretation of environmental genomics datasets Development and application of bioinformatic pipelines for
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Position Summary The Lark Lab at Michigan State University seeks a postdoctoral researcher with expertise in satellite remote sensing and spatial analysis to study agricultural land management in the
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composition and disease resistance improvement Bioinformatics & Data Analysis Develop and implement bioinformatics pipelines for processing and interpreting next-generation sequencing datasets Apply