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to focus on the completion and submission of their thesis. All VDSEE PhD-candidates are eligible to apply, regardless of whether they have previously had a contract with the University of Vienna. The funding
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; - historical research techniques and archival studies or research techniques and academic writing; - historical methods (teaching of source genres, qualitative and quantitative methods; teaching of historical
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function. You will be joining a vibrant research group focused on the interstellar medium, star/planet formation and Galactic climate, with several PhD students and postdoctoral researchers. We expect you to
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): Your qualifications as an Ingenious Partner : PhD in biology, microbiology, or other related field experience in plant microbiology / microbiome research Experience in acquisition of third-party funding
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scientific inquiry, Nature of Science (NOS), Education for Sustainable Development (ESD), environmental education and climate change education, plant- and insect awareness. We are looking for a dedicated PhD
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a related discipline. You have in-depth knowledge of methods of empirical social research, especially quantitative methods and statistical data analysis. You are interested in an international
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administration as well as in teaching and research administration The research should focus on clustering methods, especially deep clustering and representation learning for complex and high-dimensional data
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Doctoral School in Microbiology and Environmental Science at the Centre supports PhD students in the finishing phase of their dissertation project through short-term finishing contracts. These employments
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disciplines. Proven initial experience in academic writing and familiarity with research methods (interest in both qualitative and quantitative methods). Didactic skills and teaching experience are advantageous
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interdisciplinary studies, or similar planning-oriented disciplines. Proven initial experience in academic writing and familiarity with research methods (interest in both qualitative and quantitative methods