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Postdoc Positions Application Deadline 20 Mar 2026 - 12:59 (Europe/Zagreb) Country Croatia Type of Contract Temporary Job Status Full-time Offer Starting Date 18 Feb 2026 Is the job funded through the EU
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consist of 9 full time academic positions, 2 adjunct positions and many PhD-students and PostDocs making up a group of more than 30. Statistics at UiO is internationally recognized and is a major part of a
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Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 13 May 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week
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statistical and machine learning methodologies to analyze and predict aspects of the collected data With the guidance of Drs. Stuber and Bruchas, develop experimental methodologies related to two-photon imaging
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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
other renowned researchers within the Faculty of Natural Sciences and SEAMPHONI project consortium. Role Overview: As the Postdoc for the SEAMPHONI project, you will focus on mapping and identifying
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POSTDOC POSITION, GELERNTER LAB, YALE UNIVERSITY SCHOOL OF MEDICINE, DIVISION OF HUMAN GENETICS IN PSYCHIATRY for a highly motivated graduate student to join a productive research group, the
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Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 8 Feb 2026 - 14:48 (Africa/Abidjan) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is
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, Quantum Transport in topological phases , Statistical physics of classical and quantum systems, Theoretical condensed matter physics, Field theory, Quantum information theory, Theoretical Physics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
provides training opportunities in both research and clinical activities for interns, postdocs and other graduate and undergraduate students. This position is located at the TEACCH Administration & Research
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials