42 algorithm-development-"Prof"-"Prof" Postdoctoral positions at Cornell University in United States
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
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and algorithm-based technologies in service occupations, with a focus on how collective bargaining and other forms of collective worker voice influence these strategies and worker outcomes. The US
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algorithm-based technologies in service occupations, with a focus on how collective bargaining and other forms of collective worker voice influence these strategies and worker outcomes. The US research will
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algorithm-based technologies in service occupations, with a focus on how collective bargaining and other forms of collective worker voice influence these strategies and worker outcomes. The US research will
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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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will be tasked with creating open data and computational resources for education researchers and developers. The Postdoctoral Associate will participate in a cross-disciplinary research team comprised
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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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grant focused on the intersection of artificial intelligence and nutrition (supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health
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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
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of methane emissions outputs from CNCPS using methane respiration chamber data to demonstrate that the modeled data correlates with actual measurements and share findings to educate nutritionists. Developing