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Position Title: Postdoctoral Research Associate in Plant Breeding and Genomic Prediction Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: We are seeking a
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associated with shellfish culture. Responsibilities will include management of a breeding program for hard clams, and independent research evaluating the environmental stressors influencing shellfish
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 1 hour ago
breeding, combining the resilience and genetic diversity of wild crop relatives with the benefits of hybrid vigor and polyploidy. A key challenge is that synthetic polyploids can show genomic and
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and breeding. The successful candidate will apply multi-faceted approaches, causal variant discovery, and molecular breeding tools to advance understanding of host plant resistance in soybean towards
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Position Summary Applications are invited for a Postdoctoral Scholar position focused on soybean genetics, seed composition, functional genomics, and breeding. The position is ideal for candidates
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AgriLife and make a difference in the world! Position Information The Postdoctoral Research Associate will support research in the Vegetable Breeding Program at Uvalde, which is focused on studying
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ARC Training Centre in Predictive Breeding for Agricultural Futures, you will work with BASF and other research partners to explore Genotype-by-Environment-by-Management interactions and help refine
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–functional modeling of root system architecture. Phenomics data integration and high-dimensional trait analysis. Predictive breeding and quantitative genetic modeling. Machine learning approaches to
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and genomics. The successful candidate will apply multi-omics approaches, causal variant discovery, and molecular breeding tools to advance understanding of seed compositional traits, yield, and host
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components of the corn breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep