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metabolites. Our group integrates these data with a combination of computational biology, machine learning, and statistical approaches. This position will translate, develop, and deploy genomics pipelines
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diversity, equity, inclusion, and wellbeing and continually seek to understand how your role, behaviors, and actions impact the success of this culture. Required Qualifications: A PhD in a biologically
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Division of Time Project management and coordination 30% Field work and data collection 30% Statistical analyses, writing, and publishing scientific articles 30% Teaching and extension activities 5
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work. Requirements PhD in quantitative ecology, applied statistics, or a related field with strong background in statistics and model development. Experience with R and analyzing spatial datasets
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experimentation and data collection: 30% Writing: 25% Mentorship: 10% Position Requirements: PhD in plant breeding, genetics, or related field Proficiency in analysis of genomic and phenotypic datasets including
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health, implementation science, economics, nutrition) with PhD or similar Experience in quantitative research, including organization and analysis of complex, quantitative datasets, statistical modeling
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position is appointed in one-year terms, but is expected to be renewed for several years contingent upon continued funding and successful performance. Qualifications and Education Requirements * PhD in
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and Reporting 25% Requirements PhD in data science, database management, computer science, ecology, wildlife biology, conservation biology, natural resources, statistics, or related subjects. Strong
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role in developing theory and improved statistical approaches to understand diverse life history in parasites, especially tradeoffs between growth and reproduction. Research projects will examine the