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Bio and Agro-Defense Facility (NBAF), the Arthropod-Borne Disease Research Unit (ABADRU), and the Geospatial and Environmental Epidemiology Research Unit (GEERU) to model the risk of highly pathogenic
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, geospatial modeling, and statistical analysis to characterize land use trends related to the northeast agricultural industry and identify impacts and opportunities of agricultural land use transitions
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of the U.S. national harvested wood products carbon model (WOODCARB II)”. US Forest Service has been using the WOODCARB II model to estimate and reporting of the U.S. annual harvested wood products (HPW
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to, big data mining, protein structure and function prediction, protein-ligand interaction, molecular modeling, molecular toxicology, workflow development, gene knockout design and optimization, and genetic
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competencies in advanced sample-preparation workflows, SPME/Arrow extraction, GC–MS quantification, calibration modeling, and data analysis for semi-volatile compounds. Learning objectives include: Mastering
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Experience in Linux and computational languages including R, and Perl or Python Experience in AI/ML modeling Knowledge of genetics, next-generation sequencing, genome assembly and annotation Strong oral and
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of funds. Level of Participation: The appointment is full time. Participant Stipend: Stipend rates may vary based on numerous factors, including opportunity, location, education, and experience. If you are
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tunnel experiment to identify key influential factors. Once these parameters are identified, the research fellow will have the opportunity to contribute to the development of a control model based on
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use of in vivo and in vitro inhalation exposure models to develop medical countermeasures against chemical threat agents. In addition, you will participate in research projects characterizing the toxic
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in the western US. We lack timely forecasts of direction and rate of disease spread during an outbreak event. Modeling approaches will feature process-based machine learning in high-performance