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KTH, Mathematics Position ID: 421-POSTDOC34 [#27849, PA-2025-4017] Position Title: Position Type: Postdoctoral Position Location: Stockholm, Stockholm 10044, Sweden [map ] Subject Area: Postdoc in
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the procedure for the recognition of academic degrees: https://nawa.gov.pl/en/recognition/recognition-for-professional-purposes/recognition-of-scientific-degrees-and-titles Applications (in PDF file
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The Department of Ecoscience, Section for Wildlife Ecology at Aarhus University is seeking a postdoc (2 years) to develop and apply camera-based methods for population monitoring of bats
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) Positions Postdoc Positions Application Deadline 17 Jan 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun 2026 Is the job funded through
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spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
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22 Jan 2026 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions Postdoc
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prototype different thermal technologies and evaluate as well their integration and control within given hybrid systems, and under different market scenarios and industrial applications. Among
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital
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application! Work assignments We are now looking to appoint a postdoc in Clinical Neurophysiology, formally based at the Center for Social and Affective Neuroscience. As postdoc, you will principally carry out
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quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework for tissue self