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Department: Department of Computer Systems and Communications – Faculty of Informatics Deadline: 31 Jan 2026 Start date: September 2026, by mutual agreement Job type: full-time Job field: Science
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and demonstrated excellence in related fields with an excellent background in empirical methods and interdisciplinary research interests solid knowledge of spatial econometrics is welcomed with research
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, behavioral, public, or political economics with a strong publication record or research potential demonstrated by a strong job market paper with excellent background in empirical methods who is a self-driven
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the international field Foreign experience Experience with extremophile research and connections to polar research (thanks to CCM's close cooperation with the Czech Antarctic Program) Informal inquiries about the
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experience in environmental geology and geochemistry is an advantage Informal inquiries about the position can be obtained from prof. RNDr. Jaromír Leichmann Dr. rer. nat., email: leichman@sci.muni.cz , phone
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about the Center for Research on Modern Art and Theory at the Faculty of Arts of MU can be found HERE. Contact person at the department for questions about the position: Name and surname: Prof. Matthew
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Application deadline: 10 December 2025 Job Summary Teaching at bachelor's and master's level at Masaryk University in Brno Teaching compulsory subjects with a strong focus on quantitative research methods
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Instructor or Assistant Professor of the Department of Health Sciences of the Faculty of Medicine MU
programme (Ph.D.) or specialised competence according to applicable legislation. We offer: Background of a prestigious and successful institution. Work in an inspiring intellectual environment with
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and the socio-environmental and geographical situatedness of work environments in the ancient Roman Empire contributed to the spatial spread of ancient cults. Using computational methods, the project
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-environmental and geographical situatedness of work environments in the ancient Roman Empire contributed to the spatial spread of ancient cults. Using computational methods, the project examines how