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the development of new and enhanced technologies that support vegetable pickling, by fermentation or acidification, in the USA, under the USDA-ARS National Program 306, Quality and Utilization of Agricultural
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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conservation or regenerative practices that enhance soil health, water retention, and the long-term resilience of agricultural systems. You will take part in studies evaluating irrigation technology and strategy
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observations and Earth system simulations to better capture the complexities of the hydrologic cycle. This research initiative focuses on enhancing the physical representation of hydrological processes in
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, BioPermit. Training as a member of the CDC IPP, you will collaborate with computer and health scientists to develop enhancements for BioPermit and improvements to the electronic database. Additionally, you
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develop and demonstrate innovative, scalable technologies that enhance military readiness, improve warfighter capabilities, and strengthen defense infrastructure. The programs prioritize common sense, cost
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, public health, biostatistics, biomedical sciences, engineering, mathematics, statistics, or a related field. Experience or coursework involving artificial intelligence, machine learning, natural
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) unit seeks a post-doctoral fellow in food science, microbiology, engineering or related disciplines to assist in the development of value-added ingredients from agro-industrial crops and their by
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information and technologies to enhance food safety and crop production in the U.S. and around the world. You will have the opportunity to collaborate with this team of scientists specifically on research aimed
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accelerating the improvement of pecan cultivars through the discovery of novel genetic variation, development of genomic-assisted management techniques, or other applications of genomic technology in pecan