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by a generous gift from Joan and Irwin Jacobs, will join the cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the next
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%): Design and execute field experiments to test/demonstrate and integrate the sour rot decision support tool that is currently in “beta” in commercial vineyards in NY. This will entail working closely with
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. The Postdoctoral Associate will participate in a cross-disciplinary research team comprised of faculty Co-PIs, a research director, PhD students, and several Master’s or undergraduate students across multiple
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. Applications will be reviewed on a rolling basis beginning October 1 until the position is filled. Candidates must be able to provide proof of PhD prior to appointment start date. The project is primarily funded
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. (5%) Term of position This is a one-year appointment, renewable on a year-to-year basis up to three years conditional on satisfactory performance and funding. Requirements ● PhD in quantitative ecology
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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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funding. Anticipated Division of Time Research & Tool-building (60%) – Geospatial/RS analytics; model design and validation; reproducible workflows. Stakeholder Collaboration (20%) – Co-develop decision
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for one year with annual renewal contingent on performance and funding. Anticipated Division of Time Research & Tool-building (60%) – Geospatial/RS analytics; model design and validation; reproducible
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part of a stimulating, collaborative environment that values rigorous, innovative, and socially meaningful scholarship. Required Qualifications: Applicant must have a PhD in psychology, human development
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funding. Anticipated Division of Time Research & Tool-building (60%) – Geospatial/RS analytics; model design and validation; reproducible workflows. Stakeholder Collaboration (20%) – Co-develop decision