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Position Description Department of Food Science Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second
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for the Humanities Scholars Program Postdoctoral Associate positions for the 2026-27 academic year include scholars holding PhDs from Cornell and Cornell PhD candidates who complete the PhD degree between January 1
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citizens from the United States and beyond. Position Function The overarching Rose Postdoctoral Program at the Cornell Lab is currently home to a vibrant community of several dozen postdoctoral associates
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for Advanced Computing. Essential Qualifications PhD in computer science, physics, chemistry, materials science, or a related field is required by the start of the appointment Experience with programming
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zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology, or related fields and the successful applicant must
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, successful entrepreneurs and managers from the business and non-profit sectors, and conservation-minded citizens from the United States and beyond. Position Function The overarching Rose Postdoctoral Program
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Lab Research 70%; Computer Research 10%; Field/Greenhouse Research 5%; Writing and manuscripts 10% Requirements Required: PhD in Plant Biology, Entomology, Microbiology, or a related field. Experience
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collaborative research efforts. 5% Professional Development. Requirements PhD Degree in computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years
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. Requirements PhD Degree in computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using
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(Investigating how climate change may increase risk of zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology