28 parallel-processing-bioinformatics Fellowship positions at Michigan State University
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bacteriome–trait relationships; Bacteriome GWAS Manuscripts, presentations, and mentoring students Coordinating sample processing of soil, leaf, stem nodule, seed, and root-zone microbiomes Equal
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bacteriome–trait relationships; Bacteriome GWAS Manuscripts, presentations, and mentoring students Coordinating sample processing of soil, leaf, stem nodule, seed, and root-zone microbiomes Equal
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troubleshooting. Strong Python skills are required for workflow automation, data processing, testing, and model orchestration. Familiarity with C or C++, APIs, dynamic-link libraries, version control, Linux
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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
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fungicide resistance, host–pathogen interactions, and disease resistance in turfgrass systems. The role will integrate omics approaches (e.g., genomics, transcriptomics) and bioinformatics to better
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, Computational Biology, Bioinformatics, Quantitative Genetics, Molecular Biology, or a related life science discipline. Minimum Requirements Ph.D. in Plant Genetics, Plant Breeding, Genomics
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, and seed composition data using appropriate statistical and bioinformatics tools. Coordinate sample collection, seed processing, field notes, and laboratory workflows. Prepare manuscripts, technical
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, dynamic-link libraries, SQL, Git or other version-control systems, Linux, high-performance computing, parallel computing, or automated testing Experience with watershed processes, groundwater-surface
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. Bioinformatics analysis of data will include use of population genomics techniques, phylogenetics and machine-learning development. The successful candidate will be expected to write up results as manuscripts
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, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Terminal -Ph.D. in Microbiology, Marine Science, Environmental Genomics, Bioinformatics