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to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology, the Deutsche Telekom Chair of Communication Networks offers a position under
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University professorship (m/f/d) in 'AI in Occupational, Social and Preventive Medicine' (salary gra
statistics, computer science, AI, epidemiology, mathematics or data science) Outstanding PhD in statistics, mathematics, AI or a related subject with strong quantitative components Independent scientific work
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. An ambitious and forward-thinking research program that aligns with the Initiative’s goals. We are particularly interested in candidates who specialize in experimental approaches to studying the molecular-level
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to thedevelopment of collaborative research programs. Teaching is an integral part of the professorial position and teaching in all stages of the study program in German and English language is required. Non-German
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is intended to strengthen research on human pathogenic fungi in Jena. The post holder is expected to carry out an ambitious research program to elucidate the pathogenesis of severe fungal infections
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life sciences program Solid histology experience (tissue preparation, stainings incl. IFL and ISH, microscopy, RNA/protein preparation, in vivo), experience with LeicaBond (or similar), slide scanners
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independent research projects or subprojects if particularly qualified Your profile Successfully completed technician training with professional experience or BA/MS degree in a life sciences program Solid cell
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, active participation in the new interdisciplinary study program Data Analytics in Economics and Business is required. Research should address economic questions with a methodological focus on theoretical
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State programme promoting young researchers (Tenure-Track Programme). The professorship is affiliated with the department of Medical Systems Biology (https://www.med.uni-wuerzburg.de/en/systemimmunologie
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organismal systems across diverse biological contexts. Using a blend of cutting-edge experimental and computational approaches, we strive to decode and model complex biological processes—from single-cell