37 algorithm-development-"Multiple" "NTNU Norwegian University of Science and Technology" Postdoctoral positions at Cornell University
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to facilitate processing and analysis grounded in principles of Responsible AI. In addition, the NTO will be tasked with creating open data and computational resources for education researchers and developers
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purpose is understood, accessed, and developed. About PSIX PSiX emerges from the longstanding, trusted, and collaborative tradition of the Bronfenbrenner Center for Translational Research, Cornell Human
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and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world. Starting Date: As soon as
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agrivoltaics developments in New York State. This sponsored research project is part of a larger interdisciplinary team and will examine up to 8 proposed agrivoltaics (dual use ag-solar) projects in New York
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agrivoltaics developments in New York State. This sponsored research project is part of a larger interdisciplinary team and will examine up to 8 proposed agrivoltaics (dual use ag-solar) projects in New York
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the development of scientific manuscripts and research grant applications. The candidate will work with large, complex datasets from recently completed randomized trials and prospective cohort studies
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analysis and manuscript preparation, with opportunities to publish as first author as well as collaborate on papers with faculty and students. This role provides an excellent opportunity to develop expertise
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Postdoctoral Fellowship positions scholars to work with a Cornell faculty mentor and an external partner organization. Each Fellow receives individualized and cohort-level support in professional development
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on the development of novel methods to solve game theoretic models in natural hazard loss insurance modeling and in the optimization of municipal land use decision-making for risk management. To apply: Application
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assist with the development of scientific manuscripts and research grant applications. The candidate will work with large, complex datasets from recently completed randomized trials and prospective cohort