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and Evolutionary Botany. Research in our group focuses on how genome-level processes (e.g. gene duplication, horizontal gene transfer, introgression) and natural selection have shaped the morphological
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Decision Processes, and the Strategic Management Journal. We regularly host conferences and seminars featuring colleagues from around the globe. The successful candidate will work closely with Thorsten
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processes. Apply and further develop qualitative research methods (e.g., interviews, case studies, archival research) in the design, execution, and dissemination of international business research. Actively
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, MICADO and METIS. Our group develops and maintains custom-written software that will simulate, process, validate, and store data from some of the most advanced astronomical instruments ever to be built
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administration Required qualifications Doctoral degree (PhD or equivalent) in the field of Sport Science, Human Movement Science or Computer Science with a focus on Computer Science in Sport or Sports Analytics
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their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
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” research themes. The successful candidate will have: a PhD in Translation Studies/Machine Translation; practical experience conducting data-driven research in a machine translation/large language models (LLM
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created social institutions (such as schools), as well as the educational and socialization processes in non-pedagogically institutionalized fields of social life (peer groups, milieus, media, etc
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and Statistics. We are a highly international and research-oriented Department. More than 30 full-time junior and senior professors together with numerous PhD students form an international community
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group “Atmospheric Transport Processes”, led by Prof. Andreas Stohl, is part of the Department of Meteorology and Geophysics. The group develops the Lagrangian transport model FLEXPART and studies all