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articles and present results at scientific meetings. (30%) Assist in the development of proposals for external funding for research projects. (5%) Requirements A PhD degree in physics, chemistry, synthetic
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experience in statistical modeling, who is also interested in or has experience with species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will
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conditional on satisfactory performance and funding. Requirements PhD in quantitative ecology, applied statistics, or a related field with strong background in statistics and model development. Experience with
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of postdoctoral associates, PhD students, and several Master’s or undergraduate students across multiple universities and organizations. The research team will work alongside the engineering team to investigate
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. This position will be based in Ithaca, New York, with the potential for remote/flexible work and short-term travel and fieldwork at our international research sites. This is a one-year full-time benefits eligible
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, and socially meaningful scholarship. Required Qualifications: Applicant must have a PhD in psychology, human development, quantitative psychology, or a related area. Strong background/interests in
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Requirements A PhD in Biochemistry, Molecular Biology or Cell biology. A requirement for the position is evidence of peer-reviewed publications in a related field, and general enthusiasm for science. Skills
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to develop risk assessment models for mitigating insecticide resistance. This position will require collaboration with other entomologists, plant breeders, extension educators, agricultural industry personnel
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beneficial but optional experience and skills include multi-level modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring. For consideration, please click the link below to apply and
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based at Cornell and in Bangladesh Required Qualifications PhD in agricultural economics, economics or related field in hand or expected by December 2025. Experience working with primary data such as