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research experience. At least 5 years' experience in modeling studies; previous experience in proposal development; proficiency in statistical analysis; and keen interest in modeling land carbon cycle in
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; proficiency in statistical analysis; and keen interest in modeling land carbon cycle in response to climate change. Must have a strong record of original independent research and peer-reviewed publications
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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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contingent on funding, satisfactory performance, and available work. Requirements PhD in computer science or applied statistics, with a strong background in machine learning, interpretable ML methods
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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