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Field
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microbiome and genome data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated
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intelligence, and genetic simulations to support breeding decisions across diverse crop improvement programmes in the Global South. Working with large-scale phenotypic, genomic, environmental and grower survey
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large-scale genomic, phenotypic, environmental, and field trial datasets, you will benchmark AI and quantitative genetics methods, develop multimodal and hybrid modelling frameworks, and investigate
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the potential to combine environmental data and phenotypic data alongside genome resequencing to identify regions of the genome that contribute disproportionately to adaptation to novel environments. The aims
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Herbarium collections and targeted field collections. Generate, manage, analyze, and synthesize genomic, phenomic/spectral, trait, spatial, environmental, and taxonomic data. Conduct phylogeographic, species
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institutes that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty
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the Horticultural Sciences Department and the Crop Transformation Center (UF/IFAS CTC). The Baysal Lab seeks a motivated Postdoctoral Associate to advance plant transformation and genome engineering. The position
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program in environmental genomics. The postdoctoral researcher will have flexibility to define their own research agenda, but a successful candidate will be broadly interested in contributing to projects
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and writing of technical publications and reports. Preferred Qualifications Advanced training in genomic research methods. Demonstrated expertise in modern population genetic methods. Proficiency in
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How to best incorporate New Genomic Techniques to solve challenging issues in plant breeding? The recent approval by the European Parliament of new legislation to allow application of gene editing