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seeking Postdoctoral Associate candidates. The person hired into this position will be working on a Cornell Future of American Agriculture Initiative-funded project focused on developing next-generation
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properties. The Postdoctoral Associate (Postdoc) will lead the development of growth processes on a newly installed plasma-enhanced CVD (PECVD) diamond reactor in the Cornell NanoScale Science and Technology
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working experiences, and professional mentorship and support. The postdoctoral associate will be affiliated with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center
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topics and scales. We strive to provide a supportive postdoctoral environment that fosters scientific discovery, collaboration, and professional development. The postdoctoral associate will be affiliated
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. Applications are welcome from scholars in relevant fields in the humanities and social sciences. The successful candidate will pursue an independent research agenda; teach one undergraduate course in each year
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around the world. Position Function This Postdoctoral Associate will propose, develop, and execute an independent empirical research study examining a novel question that gets at the political economy of
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mentored by Drs. Noele Nelson, Corinna Noel, and Alistair Hayden, who will support the development of independent, grant-funded research aligned with the lab's mission. This position will be based in Ithaca
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the United States using National Vital Statistics System (NVSS) mortality data. The candidate will be mentored by Drs. Noele Nelson, Corinna Noel, and Alistair Hayden, who will support the development of independent
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target start date for a successful applicant of October 1, 2026. This will be a 1-year appointment with the possibility of renewal through March 2029. The primary duties are to develop and administer a
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] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO’s mission is to develop open data and computational