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% – Agricultural Data Analytics, Machine Learning, and Remote Sensing Develop, evaluate, and implement machine learning and data analytics approaches for quantifying crop phenotypic and agronomic traits. Process and
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the guidance of his/her scientific mentor to investigate how interoception circuits affect animal behavior using the zebrafish model; independently designs new analytical approaches and tools; performs
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Qualifications Previous experience with tobacco and cannabis research Tobacco emissions testing skills 1 year of relevant analytical chemistry experience preferred. Experience with analytical chemistry equipment
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-documented informatic workflows, and advance AI-powered analytics including new methods applications and development to augment current OSU Microbiome Platform capabilities. Duties will include tracking
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adult hearing aid fitting and verification Strong research productivity and scientific writing skills Experience conducting human-subjects research Demonstrated quantitative and analytical skills Strong
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Sciences | Office of the Deans The Department of Chemistry and Biochemistry within the College of Arts and Sciences, seeks a Post Doctoral Scholar to perform independent research in Analytical Separation
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, highly organized, and possess strong writing, analytic, and grantsmanship skills. The successful candidate will work with clinically annotated tumor cohorts, clinical trial specimens, public cancer
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. Demonstrated ability to conduct independent scientific research. Strong experimental and analytical skills. Ability to communicate scientific findings effectively in written and oral formats. Ability to work
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Scholar must be an expert communicator, highly organized, and possess strong writing, analytic, and grantsmanship skills. The successful candidate will work with clinically annotated tumor cohorts, clinical
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, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows Quantitative modeling and statistical inference. Applicants