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that includes medical, dental, vision, life & disability insurance, time off & leave, well-being and various voluntary benefits. Postdoc Scholars may also be eligible for retirement savings and tuition programs
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, Astronomy, and Data Science. The initial appointment is for one year, with annual renewal expected for up to three years, subject to satisfactory performance and available funding. The postdoc will be
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30 Jun 2026 Job Information Organisation/Company Max-Planck-Institut für Bildungsforschung Research Field Neurosciences Researcher Profile Other Profession Positions Postdoc Positions Application
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support professional development and a
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your application or have them sent to [email protected] (For postdocs, use [email protected] ) with the position title and number referenced in the subject line. Instructions to upload
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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with strong potential for renewal based on performance and funding. The start date is negotiable, with preference for a Fall 2026 start. Professional Development RaFF supports postdocs’ scholarly growth
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environment of postdocs, graduate students, and other researchers in the Greenberg Lab. This position is ideally suited for individuals seeking to launch a career in scientific research. Qualifications Basic
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medical, dental, vision, life & disability insurance, time off & leave, well-being and various voluntary benefits. Postdoc Scholars may also be eligible for retirement savings and tuition programs
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict