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levels at harvest, we aim to develop predictive models, powered by deep neural networks, that can detect early signs of fungal infection and evaluate mitigation strategies such as soil amendments
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verifying receipt of degree or current enrollment in an undergraduate or graduate program at an accredited university or technical institute. Student/unofficial copy is acceptable Research Proposal Research
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applying models of insect movement, and develop predictive models. This research aims to collect movement data and produce models to enhance current surveillance, control, and eradication methods, such as
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one another; and delivering world-class science, technology and land management. Research Project: The fellows will contribute their research skills to understand how different models are used
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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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across many different research communities. Computational resources are available for large-scale analyses allowing for a unique opportunity for a fellow to obtain unique training and experiences to fit
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Program of the USDA ARS offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome
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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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and poultry to generate knowledge and technology that reduces economic losses, prevents foodborne illnesses, and decreases animal suffering and death. Our prion research program at Virus and Prion
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, calibration strategies, and data analysis for semi-volatile compounds. The participant will contribute to a collaborative research program focused on understanding the dynamics of off-flavors in salmonid