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. Alexander Ecker (Institute of Computer Sciences, University of Göttingen). Candidate profile We are looking for a highly motivated candidate with: A strong background in animal behavior, behavioral ecology
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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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, land use and bioeconomic scientists and modelers, impact assessment practitioners, behavioral economists, social scientists, soil and geospatial scientists, and computer and data scientists
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industrial policy measures using textual analysis, in close coordination with the project lead. The main tasks include Collection, processing, and analysis of data related to industrial policy research
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various databases Processing of German and English-language documents (scientific papers, conference papers, conference proceedings, research proposals etc.) Supporting domestic and foreign guests
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description: Development of new thin film processes (via MOCVD and ALD) for the growth of metal, metal oxides, metal sulphides and metal nitrides Optimization of deposition processes to enhance the functional
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processes (via MOCVD and ALD) for the growth of 2D materials Optimization of deposition processes to enhance the functional properties (electronic, optical, magnetic, catalytic etc.) Comprehensive analysis
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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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compounds for vapor deposition Project Background: The atomic layer processing technologies such as atomic layer deposition (ALD) and its variant area selective atomic layer deposition (ASD) have major roles