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for admittance to doctoral studies at CTU Strong interests in scientific fields related to laser physics, nonlinear optics, high harmonic generation, physics with ultra-short pulses, interaction of light with
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: Archeometallurgical analyses SEM-EDS microscopy and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network analysis of iron production Other
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and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network analysis of iron production Other Participation in ensuring operational and
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
knowledge of models and trends in the AI community, o experience with data analysis and processing, · experience with the following technologies is an advantage: o experience with High Performance
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, verifiable publication activity in the field of qualitative/quantitative analysis of biomolecules using mass spectrometry, in-depth knowledge of one of the following areas of research: targeted MS proteomic
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insect species. Ecological Network Analysis: Mapping the vital contribution of nocturnal species to pollination networks across both natural and restored meadows in the White Carpathian Mountains (a
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. This project combines molecular genetics, advanced imaging, and quantitative analysis to answer fundamental questions in plant cell biology and genome stability. You will be part of AGILE, a large international
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the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the
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of plants and conservation biology, and (vi) landscape vegetation history including Quaternary paleoecology. Emphasis is on the use of modern methods, data analysis, international collaboration, active
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 17 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