101 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" Postdoctoral positions at Cornell University
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Cornell University, Information Science Position ID: Cornell-IS-POSTDOC [#31821] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14850-4623, United States of America
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Tuition Assistance Program. All applications should be submitted via Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/31530 . A complete application will include the following material
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) Unique applicable skills. Application Materials Required: Further Info: http://www.infosci.cornell.edu/ Cornell University Information Science Department 236 Gates Hall Ithaca, NY 14853
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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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York 14853, United States of America [map ] Subject Areas: Genomics / Plant Bioinformatics Genetics / Quantitative Computational Biology Appl Deadline: none Position Description: Apply Position
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Postdoctoral Associate– Dairy Science and Veterinary Medicine Postdoctoral Associate – Dairy Science and Veterinary Medicine Dr. Matthias Wieland’s Laboratory Department of Population Medicine and
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UnitedKingdomTime, listed until 2026/05/01 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Postdoctoral Associate – Dairy Science and Veterinary Medicine Dr. Matthias Wieland’s Laboratory
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. The incumbent will join a research group led by Dr. Dena J. Clink to develop, evaluate, and apply quantitative methods for large-scale biodiversity monitoring and conservation. The research will leverage existing
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of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https
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. The incumbent will join a research group led by Dr. Dena J. Clink to develop, evaluate, and apply quantitative methods for large-scale biodiversity monitoring and conservation. The research will leverage existing