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the university’s data science degree offerings, and advising data science students at the undergraduate and masters levels. A PhD in statistics, applied mathematics, or related field is required. Please apply
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masters levels. A PhD in statistics, applied mathematics, or related field is required. Fostering an inclusive environment is a core value of the Statistics and Data Science Department and Cornell as a
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Innovation The Breeding Insight Plant Breeding Coordinator will lead the integration of statistical analyses from genotypic and phenotypic data to provide breeding-decision support efforts for USDA-ARS
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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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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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-doctoral Research Fellowship is a full-time, post baccalaureate program designed to prepare individuals wishing to apply for a PhD in Economics, Business Economics, or Management. The Pre-doctoral research