81 engineering-computation "https:" "https:" "https:" "https:" "https:" "CNRS " Postdoctoral positions at Cornell University
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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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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 for the HL-LHC upgrades. A PhD
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Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information
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: • Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field. • Strong programming skills and familiarity with Omics data analysis and integration. • Track record
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Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field. Strong programming skills and familiarity with Omics data analysis and integration. Track record of peer-reviewed publications
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, United States of America [map ] Subject Areas: Energy Biological Engineering Biotechnology Energy & Environment Sustainability Appl Deadline: (posted 2025/12/16, listed until 2026/06/16) Position Description: Apply Position
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: Ithaca, New York 14853-3501, United States of America [map ] Subject Areas: Computer Science / Engineering Environmental Engineering Water Resources Environmental Processes Engineering Management Appl
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Postdoctoral Associate in Engineering Education, Ithaca NY Pay Range: $62,232.00 - $88,745.00 Pay Ranges: The hiring rate of pay for the successful candidate will be determined considering
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support for the Postdoctoral Associate’s projects, and mentoring undergraduates in independent projects. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31538
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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 experimental high