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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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multiple colleges and Cornell campuses, dedicated to addressing global challenges. It comprises the Computer Science, Information Science, and Statistics and Data Science departments, collaborating with
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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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should be able to demonstrate a commitment to undergraduate and graduate education, and a commitment to collaboration, collegiality and building an inclusive academic environment. A PhD in statistics
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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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, an ability and willingness to teach at all levels of the program, and a PhD in operations research, mathematics, statistics, or a related field by the start of the appointment. Salary will be
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at the undergraduate, master's, and/or Ph.D. levels, supervision of doctoral candidates, and service to the Area, School and/or College. The ideal candidate will possess a PhD in Marketing or related field (e.g
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communities established at Cornell (https://machinelearning.cis.cornell.edu/ ). Qualifications: A PhD in neuroscience, computational biology, computer science, behavior, physics, or a related field and a