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- University of Vienna
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- Universität für Bodenkultur
- Austrian Academy of Sciences, The Institute for Social Anthropology - ISA
- Austrian Academy of Sciences, The Space Research Institute (IWF)
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- mdw - University of Music and Performing Arts Vienna
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Field
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weekly contact hours per semester) across different curricula, primarily in the areas of music history, theory/analysis and aesthetics (language of instruction: German) Supervision of academic theses (BA
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management Experience with targeted elemental, isotope and molecule analysis (ICP-MS, ICP-OES, TOC) Experience in project management and financial administration of research projects Valid driver's license
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc (f/m/x) Analysis and interpretation
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matrices and related fields. PhD in mathematics or physics is required, thesis and previous research work in mathematical physics, probability or analysis in a broader sense is preferred. The position is
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integrative methods of building documentation and building analysis. Chronologically, the research spans from antiquity until the modern era. For more information of the research activities of the group, see
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for the model, or novel applications of the model in research fields that we already cover (e.g., analysis of ice core data; transport of heat, water, greenhouse gases, radionuclides or air pollutants in
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, or novel applications of the model in research fields that we already cover (e.g., analysis of ice core data; transport of heat, water, greenhouse gases, radionuclides or air pollutants in the atmosphere
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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analysis. You publish internationally and give lectures. You apply for projects and raise third-party funds. You prepare and complete a publication-ready habilitation. You hold courses independently within
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automation systems using machine learning techniques. Develop interpretable and explainable models to support root-cause analysis and actionable diagnostics. Contribute to peer-reviewed publications, open