24 computer-programmer-"https:"-"U"-"FEMTO-ST" "https:" "https:" "https:" "https:" Postdoctoral positions at Cornell University in United States
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Bucks New York (DUFBNY): In partnership with the Field and Fork Network, we evaluate the implementation of DUFBNY where households with Supplemental Nutrition Assistance Program (SNAP) benefits receive
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-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in
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developing this program. We are also particularly interested in strengthening the group working the CMS Track Trigger or Forward Pixel Detector for the HL-LHC upgrades. A PhD in experimental high energy
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) Unique applicable skills. Cornell University seeks to meet the needs of dual career couples, has a Dual Career program, and is a member of the Upstate New York Higher Education Recruitment Consortium
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, supported by a generous gift from Joan and Irwin Jacobs, will join the cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the
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Fellows Program. This position offers a unique opportunity to work at the forefront of computational transportation science, AI-enabled mobility modeling, urban analytics, and cloud-based decision-support
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analysis of CMS data and will have considerable freedom in developing this program. We are also particularly interested in strengthening the group working the CMS Track Trigger or Forward Pixel Detector
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) Position Description: Apply Position Description Position Description: The Ezra Systems Post-Doctoral positions in the Systems Engineering Program at Cornell University spend one to three years at the Ithaca
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to develop, design, and implement active learning techniques in larger courses (no more than two per semester), participate in the college-wide ALI program, including attending weekly ALI fellows’ meetings and
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Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource economics, data science or closely related field, with