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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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strategies. Interpreting wildlife monitoring data while developing an understanding of data collection limitations and challenges commonly encountered in wildlife management research. Exploring methods used
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methods for evaluating AI tools for public health applications; participate in the development and testing of AI-enabled analytical approaches, prototypes; examine how AI can help integrate and interpret
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Microsoft Office applications and familiarity with statistical analysis methods and software. Critical thinking and scientific judgment to evaluate complex environmental health data and site conditions to
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insights gained throughout the appointment, you will learn to apply evidence-based methods to develop a research-prioritization matrix and collaborate on a draft a five-year research agenda for the ATSDR
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scientific methods and analytical approaches used to support the mission of the ATSDR Office of Innovation and Analytics (OIA). You will gain hands-on experience with computational, data science, and other
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, and maintain analytical pipelines and software; Evaluate emerging bioinformatics tools, datasets, and analytical methods; Collaborate on scientific presentations, technical documentation, posters, and
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, identify populations at increased risk for severe respiratory illness, estimate disease burden, and inform public health planning and decision-making. As part of this research opportunity, you will gain
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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