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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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Biology, Bioinformatics, Electrical and Computer Engineering, or a related field. Strong background in machine learning and deep learning. Experience with LLMs, agentic AI frameworks, or structural
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, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Microbiology, microbial ecology, soil science, environmental science, plant biology, molecular biology, bioinformatics, or
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, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Microbiology, microbial ecology, soil science, environmental science, plant biology, molecular biology, bioinformatics, or a
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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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binding affinities, and protein functions through existing bioinformatics approaches and an extensive simulation campaign. To support these efforts, Team Green is looking for up to 4 qualified postdoctoral
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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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-harvest fruit quality analyses, 3) nucleic acid extractions, and 4) bioinformatics techniques to identify genetic variants influencing fruit maturity time. Candidate will also assist with manuscript
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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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validation of NGS bioinformatics pipelines. Desired Qualifications Candidates with a Master's degree in Data Science, Molecular Biology, Neuroscience, or a related science field are preferred. Equal