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statistic methods and computer programs for analysis of quantitative or qualitative data (e. g. SPSS, R, AMOS, MAXQDA) and profound knowledge of computerized literature search Didactic competence Excellent
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Austrian Academy of Sciences, the Austrian Archaeological Institute OeAI | Austria | about 2 months ago
based in the research group “Historical Building Research” (Head G. Styhler-Aydın) of the Department of Historical Archaeology (see https://www.oeaw.ac.at/en/oeai/research/historical-archaeology
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of research in the natural sciences and research organizations situated between imperial and nation-state science policies. A strong familiarity with theories and methods from cultural studies and the history
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, composites), including serving as contact person for this topic within the Chemical Technology research division Implementation of advanced electron microscopy-based characterization methods (EDX, EBSD
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and German Desirable additional qualifications: Experience with materials characterization (e.g., TEM, SEM, EBSD, diffraction-based methods) Familiarity with aluminum alloys, precipitation phenomena
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-funded research project is to improve seismic methods of cavity detection with Full Waveform Inversion. The project entails the acquisition of a 9C-dataset at a test site in a mine and the processing
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quantitative and qualitative research to develop empirically supported game-theoretic and agent-based models Apply econometric and model simulation methods to analyze governance mechanisms and to study the
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an Kleintierstudien mitzuwirken, ist erforderlich. Willingness to participate in small-animal studies in line with the 3R principles is required Experience with animal studies is desirable Experience with the methods
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integrating statistical-mechanical theory, quantitative modeling, and experimental single-molecule methods. We aim to develop mechanistic models of receptor activation that combine physical theory with data
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Expertise in one or more of the following areas: quantum gravity, renormalization group methods, effective field theory Prior postdoctoral and/or co-supervision experience is highly desirable Excellent