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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 12 days ago
systems Computer science » Informatics Information science Information science » Information management Researcher Profile Recognised Researcher (R2) Application Deadline 31 Mar 2026 - 12:30 (UTC) Country
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to climate change and variability Hydrological processes in organosols and peat-affected soils Modeling Hydrological Extremes Using Machine Learning Spatial and time distribution of precipitation within
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of Microbial Ecology and Biogeography (https://kohoutlab.com/ ), is looking for motivated research. The person will join the consortium of the Excellence Research Centre Project “INTER-MICRO” that aims
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Machine Learning. Profile of the graduate The graduate displays deep theoretical knowledge in molecular and cell biology, genetics and virology, with focus on some specific branch of these scientific fields
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of dissertation topics: Developing Remote Sensing–Based Indicators of Landscape State and Change Using Data-Efficient Machine Learning Across Scales Profile of the graduate The graduates have deep theoretical
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and migrations of ancient humans in Eurasia; Other ongoing projects in the Laboratory of archaeogenetics, such as testing and improvement of analytical methods such as PCA and manifold learning
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: an insight from Genetics, Single-Cell Transcriptomics, and Machine Learning. Profile of the graduate Ph.D. graduate has extensive knowledge of cell and developmental biology, ranging from basic principles
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process Access to sports facilities on campus For more information about the PhD program and the advertised PhD projects visit: https://fgu.cas.cz/en/students-and-career/ph-d-studies/ How to apply? PhD
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of Central and Eastern Europe Political and regional geography: issues and approaches Private Military Companies as Geopolitical Agents: Their Role in Constructing Security Discourse Variegated Urbanisation
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Scientism and its metaphysical implications The forms of interaction between magic and science in the Renaissance and Early Modern Period Profile of the graduate Graduates will acquire good general knowledge