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- MASARYK UNIVERSITY
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- Masaryk University - Faculty of Arts
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for biological sample preparation prior to analysis, development and validation of separation methods for use in pharmaceutical analysis and bioanalysis, interpretation of the data obtained in relation
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their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the analysis of geocoded data, especially of epigraphic and archaeological
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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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their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, and the analysis of geocoded data, especially of epigraphic and archaeological origin. MAIN
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analysis. Publication Activities: Regular publication of research results in peer-reviewed journals, presentation at scientific conferences, and collaboration with national and international research
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examines how 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
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and cellular analysis of the ischemic brain using spatial and single-cell transcriptomics Profile of the graduate The graduate understands key areas of informatics, such as algorithms and software
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applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new cartographic
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similar sites around the world. Requirements: A master's degree in microbiology or a related field Basic training in microbiology (preferably environmental microbiology), statistical analysis and
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include experimental research into composite materials with fiber reinforcement and their matrices; the implementation of plasma treatments, analysis of material properties, and data evaluation