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contained in the application documents or obtained during the interview will be processed exclusively for the purpose of the selection procedure for this position. The legal basis for the data processing is
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-processing, and machine learning textual analysis of the full text of policy documents. Qualitative content thematic analysis is envisioned to compliment structural topic modelling to identify strategies and
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-mail applications, create a PDF document (one PDF file, max. 5 MB; packed PDF documents, archive files like zip, rar etc. Word documents cannot be processed and therefore cannot be considered!) with
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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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reliability of R-Mode, particularly under varying environmental conditions. Key objectives include understanding the physical processes that affect R-Mode signal propagation, quantifying the variability
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peatlands and are largely unexplored. The planned monitoring, experimental and modeling research emphasizes biogeochemical, hydrological and biological processes, focusing on water and matter fluxes within
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opportunities Perspectives for further scientific qualification Flexible working hours Flat hierarchies and short decision-making processes A highly motivated and cooperative team Job ticket Excellent funding
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process or project-related questions contact Dr. Mustafa Bulut (mustafa.bulut(at)ipb-halle.de ). Foreign qualifications must comply with German standards (TV-L-EntgeltO Protokollerklärung Nr. 1 Absatz 4
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and processing of industrial policy data and ensuring rigorous analytical methods are applied. Your Profile Required: Ph.D. in Economics Proven expertise in industrial policy research Fluent in English