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their research. Additional funds are available for supplies and travel essential for the fellow's research. Research Project: Under the guidance of a mentor, you will apply computational methods for identifying
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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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methods to apply to genomic resources, or to develop novel genome annotation methods to apply towards existing genomic resources. Developing and customizing pipelines for automation of data processing
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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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produce Collaborative scientific research and interdisciplinary teamwork Development and optimization of analytical workflows and laboratory methods Communication of scientific findings to research and
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[email protected] and include the reference code for this opportunity. Qualifications The qualified candidate should have received or currently pursing a PhD in one of the relevant fields, i.e., Analytical
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to apply laboratory and analytical methods to investigate the underlying mechanisms associated with poultry breast meat quality defects. Strengthen data analysis and interpretation skills using scientific
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. Other Preferred Skills: Experience using field instruments such as electrical resistivity tomography (ERT) and borehole nuclear magnetic resonance (bNMR) methods for time-lapse subsurface investigation in
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diverse turfgrass germplasm, you will learn methods for evaluating adaptation, color, quality traits, and environmental stress tolerance that support the development of improved turfgrass cultivars. You
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of Defense . Qualifications The qualified candidate will hold a PhD in a STEM field listed in the opportunity's eligibility section. Degree must have been received within five years of the appointment start