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- Faculty of Science, Charles University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- MASARYK UNIVERSITY
- Masaryk University - Faculty of Arts
- Charles University in Prague, Faculty of Science
- Charles University, Faculty of Mathematics and Physics
- Economics Institute of the Czech Academy of Sciences
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- J. Heyrovský Institute of Physical Chemistry of the CAS, v. v. i.
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Field
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of critically analysing and evaluating changing interactions between social and natural components of the geographical environment, and solving problems at local, regional, national and global levels (e.g
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personal data to the extent necessary for the implementation of measures involving mutual negotiations and candidates evaluation by our organization prior to arranging an employment contract. We will only
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. For further information, visit: https://www.mbnresearch.com/MS-RADAM/DC-research-projects Requirements Research Field - Physics, Chemistry, Biological Sciences Education Level - Master Degree or equivalent
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. He/she is able to propose an optimum solution of a given scientific problem, to choose suitable methodical approaches and to correctly evaluate and interpret the obtained data. He/she also shows
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pilot implementation: gathering user feedback, evaluating usability, and analyzing learning outcomes. Preparing technical documentation for solution architecture and platform integration (e.g., content
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, TPD), and their activity, selectivity and stability evaluated using electroanalytical and electrochemical methods (DEMS). 3) The subject of the proposed PhD studies is investigation of the epitaxial
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of development. Comprehensive evaluation of the finished system prior to deployment. Research takes place across various environments—ranging from web and desktop to mobile applications and immersive VR (Virtual
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the IS ZČU II according to the valid Declarations**, to wait for the evaluation according to the specified schedule. Declarations: https://inis.zcu.cz/fcgi/verso.fpl/dload/29428
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: Mathematical modeling and statistical data analysis. Evaluating data as potential predictors explaining the spatial distribution of archaeological or epigraphic finds (e.g., analysis of variance, correlation