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Cornell University, School of Civil & Environmental Engineering Position ID: Cornell-CEE-POSTDOC [#31542, _Galelli] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York
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Post Doc Associate, ALI The Department of Psychology at Cornell University, a cross-college department in the College of Human Ecology and College of Arts and Science, invites applications for a
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, United States of America [map ] Subject Areas: Human Centered Design Architecture Urban Planning Computer Science Public Health Salary Range: $62,232 to $88,745 Appl Deadline: 2025/12/02 04:59 AM (posted 2025/11/05 05:00
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until 2026/06/01 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Postdoctoral Associate, Psychology Cornell University College of Human Ecology & College of Arts & Sciences
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: Postdoctoral Position Location: Ithaca, New York 14853, United States of America [map ] Subject Areas: Ecology Bioinformatics Fisheries Marine Biology / Underwater Acoustics Natural Resources Appl Deadline
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Cornell University, Division of Nutritional Sciences Position ID: Cornell-DNS-RESPDOCNYC [#31625, WDR-00056957] Position Title: Position Type: Postdoctoral Position Location: New York City, New York
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, computing icequake source parameters, and detecting glaciohydraulic tremor. The ideal candidate will have a Ph.D. in Earth Sciences with a focus on either glaciology or seismology, demonstrated experience in
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Post Doc Associate This postdoctoral position is funded by an R01 grant (1R01AG082954-01) from the National Institute on Aging in collaboration with Northwestern University. The project is titled "Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults...
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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• Microbiology, particularly of non-model organisms • Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data • High-throughput