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a PhD in agricultural and resource economics, economics, or related field by the start of the position. The ideal candidate has a strong quantitative background (econometrics and causal inference
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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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Urban Technology, Transportation/Infrastructure Economics, and the Sustainability Business. Experience in transportation/infrastructure economics and finance, software systems engineering, network science
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to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and
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Postdoctoral Associate: Endangered Bird Conservation in the Western U.S., Cornell Lab of Ornithology
://bioacoustics.cornell.edu ) is defined by its application of bioacoustic techniques to biodiversity conservation. Ecological research, hardware and software engineering, and global capacity building are the Yang Center's
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technologies across ecologically relevant scales to inspire and inform the conservation of wildlife and habitats. Bioacoustics research from data engineering to ecological outputs, hardware and software
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and validate BirdFlow models. With the BirdFlow team, the postdoc will have an opportunity to contribute to products and software that will be released for scientists, conservation practitioners
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vertices and contribute to one of the HL-LHC upgrade projects at Cornell University with preference towards the pixel forward detector upgrade. Required Qualifications: PhD in experimental high-energy
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include: ·Collaborate to define the landscape of educational change and instructional approaches used in graduate engineering education ·Collect and analyze data using quantitative and qualitative research
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Requirements PhD in Microbiology or related field Required skills Substantial experience with microbiome data analyses Ability to write code in R and Python Proficiency in bioinformatic/computational/statistical