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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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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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Cornell University, Cornell Center for Astrophysics and Planetary Science Position ID: Cornell-CCAPS-POSTDOC1 [#31643, 1972904] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14853, United States of America [map ] Subject Area: Astronomy Appl Deadline: 2026/05/01...
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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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computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology
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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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relativity starting in September 2026. The position requires a Ph.D. and experience in numerical relativity or computational physics. The position is for one year, with subsequent renewals depending
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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
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, Urban Planning, Architecture, Computer Science, or related fields (completed by start date). Experience in qualitative, mixed-methods, or applied research. Strong written and verbal communication skills
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, limnology or related fields. Strong quantitative background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts