47 algorithm-development-"St"-"St" Postdoctoral positions at Cornell University in United States
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Postdoctoral Associate - Department of Global Development The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college
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Postdoctoral Associate - Department of Global Development The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college
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training in social science fields related to transdisciplinary agroecology, such as critical agrarian studies, sociology, political ecology, human geography, STS, and development studies. Experience with
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research and training in social science fields related to transdisciplinary agroecology, such as critical agrarian studies, sociology, political ecology, human geography, STS, and development studies
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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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Cornell University, Department of Global Development Position ID: Cornell-Department of Global Development-PRA [#30939, WDR-00055567] Position Title: Position Type: Postdoctoral Position Location
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development efforts on their campuses. This collaborative research project will use mixed methods to investigate the experiences within one institution and develop insights that can be shared other institutions
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cellular, molecular, and functional genomic techniques in a wide array of marine invertebrate species to interrogate the evolution and development of novel traits. The successful candidate will be expected
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of a next-generation turbidity meter (Arduino-based with radio communication to a central controller). * Develop and validate calibration methods for new sensors for turbidity and existing commercial
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the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling to evaluate the technical, environmental