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methodology and public policy research on marginalized mountainous and highland areas Additional training in the field of spatial data analysis (GIS) and statistical data processing (SPSS Statistics or R
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of the Faculty of Croatian Studies. Specific Requirements Preference will be given to applicant with: knowledge and experience in advanced statistical software for data processing and complex statistical analyses
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indicators, statistical analysis and interpretation of paleoenvironmental conditions. Where to apply E-mail natjecaji@hgi-cgs.hr Requirements Research FieldGeosciences » GeologyEducation LevelPhD or equivalent
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using secondary data and conducting secondary data analysis in scientific research. Knowledge of databases. Experience in working with various software for conducting survey research and statistical data
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the ecology of freshwater macroscopic invertebrates, the evidence of which should include authorship of scientific papers; and knowledge of statistics and practical experience with statistical programmes
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conducting secondary data analysis in scientific research. Knowledge of databases. Experience in working with various software for conducting survey research and statistical data analysis. Additional education
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appropriate diplomas or acquired academic degree d) a list and offprints of relevant publications Additional selection criteria are scientific and professional competencies in the field of statistics, research
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: knowledge of working with statistical data processing programs, working with databases, experience in analyzing human skeletal remains, experience in organizing scientific events (thematic seminars, workshops
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electrophoresis (in agarose gel, SDS-PAGE), PCR, Western Blot, proteomics, metabolomics bioinformatics, statistical analysis, database management, use of specialized software such as R, Proteome Discoverer, Mascot
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designing, organising and conducting research in the domain of psychological science/psychology is also expected. The candidate it is expected to be able to use and have experience in using statistical