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) Qualifications Essential Qualifications PhD in forestry or closely related field such as land resources Preferred Qualifications Have experience with bark beetles, tree defenses, and climate data Have experience
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to food animal disease epidemiology.(50%) 2) Collect and organize data for research activities.(10% 3) Collaborate with the PI in the generation and testing of research hypotheses and data analysis, writing
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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-NGS analysis Biophysical characterization of RNAs (40%) -Characterize functional nucleic acid binding to target ligands -Characterize functional behavior (fluorescence, catalysis) of nucleic acids
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Transboundary Animal Diseases in natural host species. To conduct research and provide technical assistance to the PI, students, and trainees in the lab on pathogenesis, laboratory data analysis, and
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of this work: Sample collection at turkey farms Blood collection and isolation of leukocytes for further analysis RNA extraction for RNA sequencing and data interpretation Immunohistochemistry
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regular presentations of scientific data and significant contribution to the preparation of manuscripts. Qualifications Required Qualifications: PhD in Cell Biology or related field Preferred Qualifications
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teaching, or active learning practices Preferred Qualifications: Demonstrated skill in interviewing and qualitative data analysis Demonstrated skill in survey data collection and quantitative analysis
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data pipelines Comply with data security guidelines Data analysis (25%) Data reduction of predictor and outcome measures Determine and implement optimal strategies for testing multiple hypotheses Utilize
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conferences. Manuscript preparation, including statistical analysis, data visualization, writing, and editing. 10% Supervisory The postdoctoral associate will work with undergraduate and graduate students in