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- Faculty of Science, Charles University
- Biology Centre CAS
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- Charles University, Faculty of Mathematics and Physics
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WoS/Scopus) Experience with empirical field research – quantitative and qualitative research methods (e.g., interviews, content analysis, discourse analysis) Ability to collaborate in a team on
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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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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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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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knowledge and experience creatively. A graduate can formulate, plan and perform scientific tasks and critically evaluate and present their results, and has practical experience with organizing and funding
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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
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to adapt and apply them relevantly to any chemical and biological topics. The students are able to present their results, critically evaluate them and to discuss them in respect to international
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for this programme Detailed information about the study programme Offer of dissertation topics: DSPII:Personalized medicine and its approach based on the analysis of immune system–microbiota interactions as a tool