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studies in the winter semester (October) Opening of applications and publication of the dissertation topics: 15. 2. 2026 Application by: 30. 4. 2026 Apply for this programme Detailed information about the
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the winter semester (October) Opening of applications and publication of the dissertation topics: 15. 2. 2026 Application by: 30. 4. 2026 Apply for this programme Detailed information about the study programme
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and publication of the dissertation topics: 15. 2. 2026 Application by: 30. 4. 2026 Apply for this programme Detailed information about the study programme Offer of dissertation topics: Development
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. 2026 Apply for this programme Detailed information about the study programme Offer of dissertation topics: Decoding Antibiotic Resistance: The Mechanism of mRNA-Dependent ABCF-Mediated Translation
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of the University of Ostrava: 6th wage tariff Where to apply Website https://forms.office.com/Pages/ResponsePage.aspx?id=BeoAsH4kSE6MkRzwDHSU7xXWsDS… Requirements Research FieldReligious sciencesEducation LevelPhD
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Commission. You can find out more information about the faculty on the website https://www.phil.muni.cz/en/ or on Facebook https://www.facebook.com/FacultyofArtsMasarykUniversity . For information on HR work
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
in the summer of 2021), Barbora (849 TFlop/s, installed in the autumn of 2019), and is a member of the consortium operating LUMI, one of Europe's most powerful supercomputers. IT4Innovations also
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research institutions at both the individual and institutional levels, and we provide an excellent environment for both students and staff. You can find out more about us on our website https
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Fellowship Metabolomic data analyst / Molecular Biologist (m/f/d) Laboratory of Cardiometabolism Institute of Physiology of the Czech Academy of Sciences, Prague About the Position We are seeking a highly
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physics can be incorporated in various ways. Two methods now researched most intensively are i) trainable machine learning pipelines may embed differentiable physical models, and ii) the learning process