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with faculty, staff, and collaborators. Proficiency with computer applications for financial management and reporting (e.g., Microsoft Excel). Must be comfortable working with new and developing
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are invited for a Postdoctoral Associate with a focus on educational assessment to help guide a Cornell initiative focused on innovation in the assessment of student learning at the course level. The
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promising publication record. Have expertise in one or more of the following areas: with large datasets and statistical analysis, machine learning, data viz, and a high level of independence with
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we strive to be a welcoming, caring, and equitable community where students, faculty, and staff with different backgrounds, perspectives, abilities, and experiences can learn, innovate, and work in an
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research. The primary focus of this position is to leverage state-of-the-art machine learning and AI algorithms to extract valuable insights from high-resolution climate datasets, including dynamical
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broadly by working on their own research and connecting to colleagues across the university. Depending on interests and feasibility, they may be able to teach and/or engage in off-campus fieldwork with
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participatory science focused on birds. The Lab is a vibrant unit within Cornell's College of Agriculture and Life Sciences. Staff at the Lab publish research, teach courses, advise students and postdocs, collect
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in the assessment of student learning at the course level. The Postdoctoral Associate will (i) work with the Faculty Director of the Active Learning Initiative to coordinate assessment analysis and
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experiences can learn, innovate, and work in an environment of respect, and feel empowered to engage in any community conversation. At Cornell, we recognize people with diverse backgrounds and experiences bring
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history, or LGBTQ+ history in the Americas. The postdoc will teach a lower-level and an upper-level course each year that engages with public history topics and methods (involving, for instance, monuments