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8 Apr 2026 Job Information Organisation/Company University of Chemistry and Technology, Prague Department Department of Chemical Engineering Research Field Engineering » Chemical engineering
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interdisciplinary project "Global change, freshwater snails and ecosystem effects: Will smaller invasive species dominate?" Project Overview The project will investigate the mechanisms and effects of species
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are seeking a PhD student to join our team for a newly funded three-year interdisciplinary project "Global change, freshwater snails and ecosystem effects: Will smaller invasive species dominate?" Project
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remain disproportionately understudied, leaving a critical knowledge gap in our understanding of complex pollination networks. This project aims to bridge this global knowledge gap by developing and
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of Software Engineering (Faculty of Mathematics and Physics CU) Guarantor of the study programme doc. RNDr. Hoksza, Ph.D. david.hoksza@matfyz.cuni.cz Do you have a question? Complete information about the
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engineering, food science, environmental studies and related disciplines. - Access to state-of-the-art equipment. - Opportunity to work in Prague, a vibrant city at the heart of Europe with excellent global
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the Advanced Materials Group (Department of Control Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague), to work on the computational materials science work “Diamond-based
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regional and political geographies in a globalized world at various spatial scales, from local to global. It addresses topics such as (multi-scalar) governance, state geography, nationalism, identities
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 16 days ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 19 days ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software