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transcriptomics and bioinformatics and/or demonstrated proficiency in gene knockout and complementation techniques. Familiarity with Sclerotinia biology is advantageous but not required. Area/College: The College
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-motivated and have strong oral/written communication skills. Preferred Qualifications: Previous experience with prostate cancer, epigenetics, bioinformatics data mining, and cancer xenograft mouse models is
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, bioinformatics, immunology, disease surveillance, and diagnostics. Candidates with a research emphasis on wildlife ecology and epidemiology, infectious hoof diseases of livestock and/or wildlife, or other diseases
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