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, the development and maintenance of data management protocols for research studies, and related research tasks. Among the key duties of this position are the following: Performs statistical consultation and data
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, performs the computational analysis of bulk and single-cell multiomic datasets; develops computational pipelines for the statistical analysis of high-throughput data involving gene expression, chromatin
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Qualified candidates are required to have a PhD or an equivalent doctoral degree and experience in chemistry, biology, toxicology, pharmaceutical science, computer science, or statistics. Candidates must have
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. Solid background in signal processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical analysis and data management
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, implement, and monitor research projects, including oversight of study timelines, milestones, and follow-up activities. Develop and refine study protocols and research materials; conduct statistical analyses
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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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Qualifications Bachelor’s degree in Agricultural Science or a related discipline. Knowledge of wet and dry lab techniques, such as, DNA extraction from turfgrass samples, digital PCR, and statistical analysis
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Qualified candidates are required to have a PhD or an equivalent doctoral degree and experience in chemistry, biology, toxicology, pharmaceutical science, computer science, or statistics. Candidates must have
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of the required doctoral degree completion must be provided prior to commencement of employment. Certifications/Licenses Required Knowledge, Skills, and Abilities Demonstrated excellent writing and statistical and
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, and Abilities Knowledge and experience with ESRI ArcPro and ArcGIS Online, including Arcade coding. Knowledge and experience with coding with R or Python to automate GIS and statistical analysis