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for advanced statistical and time-series analyses. They will analyse behavioral, EEG and eye-tracking data collected during prolonged experimental sessions. The research will focus on the modelling and
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Three letters of recommendation Official doctoral transcript documents Application Deadline 11/1/2026 6:00:59 PM Eastern Time Zone Description About the NASA Postdoctoral Program The NASA Postdoctoral
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and execution of a seminar series, tentatively titled “Présence(s) Radicale(s),” to take place during the final months of the period of employment (October 2027 – May 2028). This monthly seminar will
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Link https://www.ubjobs.buffalo.edu/postings/64290 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position
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includes the opportunity for three weeks of training in higher education teaching and learning. The postdoctoral fellow will: Develop and maintain harmonized satellite time-series datasets (Landsat and
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Sign In Create Profile Postdoctoral Research Associate I, Immunobiology Tucson, AZ, United States | req26998 Apply Now Share Save Job Posted on: 9/4/2026 Back to Search Postdoctoral Research
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University is seeking applications for one full-time, Contract College benefit-eligible postdoctoral associate with one-year appointment. We conduct transdisciplinary research, co-designed with public health
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-quality educational programs to master, PhD students and postdoctoral researchers (full details on http://www.iciq.org/ ). ICIQ is looking for a postdoctoral researcher in the group of Prof. Ruben Martin
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
Three letters of recommendation Official doctoral transcript documents Application Deadline 11/1/2026 6:00:59 PM Eastern Time Zone Description About the NASA Postdoctoral Program The NASA Postdoctoral
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Intelligence, Machine Learning, Statistics, Atmospheric Science, or a closely related quantitative discipline. *Demonstrated expertise in machine learning methodologies, particularly time-series sequence