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on the littoral environment. Algorithm development includes photogrammetric measurements of wave parameters, image stabilization, and use of AI/ML models for image segmentation and classification. Algorithms will
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tunnel experiment to identify key influential factors. Once these parameters are identified, the research fellow will have the opportunity to contribute to the development of a control model based on
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The mission of the research facility is to Developing Strategies to Improve Dairy Cow
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provide global leadership in agricultural discoveries through scientific excellence. The mission of NLAE is to address critical problems in agriculture and watershed management. Our goal is to develop
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the increasing use of recycled asphalt binders in new pavements. Under the guidance of a mentor, the participant will participate in the development and optimization of chemical processes to improve
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for wheat, barley, oat, and rye. As part of a highly collaborative, multi-disciplinary team, the selected candidate will use his/her computational biology and machine learning background to help develop tools
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learning background to help develop tools to transform data query, access, display, and sharing, perform analyses, present results, and publish manuscripts. Learning Objectives: The participant will learn
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. The participant will be a part of method development, validation and application of novel methods for analysis of per- and polyfluoroalkyl substances (PFAS) in food and food packaging, develop and validate new
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scientists and communicate findings through manuscripts and newsletters. Learning Objectives: The participant will have an opportunity to gain experience in plant genetic analysis, pipeline development, trait
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a cross-disciplinary approach. Learning the mechanism of blast-induced neurotrauma and develop suitable countermeasures using pre-clinical models Focusing on neurosensory (auditory and ocular systems