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insurance is required for participation in this program. Health insurance can be obtained through ORISE. The successful applicant(s) will be required to comply with Environmental, Safety and Health (ES&H
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evaluations conducted in laboratory, greenhouse, and field environments. One project will investigate the collection and storage of hemp pollen. Learning Objectives: Throughout the project, participants will
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industry audiences This fellowship offers a hands-on learning environment that supports scientific skill development while contributing to research aimed at improving postharvest fruit quality, enhancing
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this program. Health insurance can be obtained through ORISE. The successful applicant(s) will be required to comply with Environmental, Safety and Health (ES&H) requirements of the hosting facility, including
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. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. The successful applicant(s) will be required to comply with Environmental, Safety
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will provide hands-on learning in a multidisciplinary team environment and exposure to research objectives aimed at solving challenges related to cottonseed processing and development of value-added
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within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
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interpersonal and teamwork skills – ability to be self-motivated and to excel both independently and in a team environment Demonstrated communication skills (oral and written) Stipend $74,678.00 Yearly Point
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in a Unix environment and on high-performance computing equipment. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) apply methods in computational
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scientific solutions to agricultural challenges for producers, consumers, and the environment. Consistent with NP301 and NP303 objectives, we integrate trait discovery and disease management strategies