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laboratory quality management activities, including method documentation, quality control, specimen management, and laboratory safety. Preparing and delivering scientific findings through informal and formal
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aerial vehicle (UAV) imagery collection and processing, deep learning methods, and rangeland vegetation communities in Oregon and Idaho as part of an interdisciplinary team including researchers in plant
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are to enhance barley and oat productivity, quality, and stress resilience by combing traditional, molecular, and genomics methods. You will collaborate with other scientists in the unit and other institutes
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computing pipelines and package models and analytical methods as documented, reusable research software and community resources. You will be encouraged to participate in SCINet and AI Center of Excellence
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industrial desert crop to farmers in the south western US as an alternative to high water requiring crops such as as cotton and alfalfa. Current methods will be optimized and new methods may be invented and
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analyses for methods such as flow cytometry, cell culture/stimulations, and RNA sequencing (bulk, single-cell, spatial) may also be available based on your interests. Research endeavors are intrinsically
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opportunity combines molecular laboratory methods with collaborative field surveillance to advance the understanding of honey bee disease epidemiology and inform strategies for colony protection in Illinois
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, plant science, engineering, textile technology, and data science. This team is dedicated to developing and improving methods for assessing cotton fiber quality across production, processing, and end-use
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, Computer Science, Systems Engineering, or a closely related field. A postgraduate is required to have earned their degree within 5 years of the appointment start date. A PhD is not required at the time of selection
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genetic, genomic, and phenotypic datasets, to support research and crop improvement. Basic and applied research is also conducted within this project. You will use methods in computational biology to