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- Charles University in Prague, Faculty of Arts
- Charles University in Prague, Faculty of Science
- Czech Technical University in Prague
- Institute of Atmospheric Physics of the Czech Academy of Sciences
- Masaryk University - Faculty of Science – RECETOX
- Mendel University
- Mendel University in Brno
- The Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences, Department of Forest Ecology
- University of Chemistry and Technology Prague
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Field
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Applied Geoinformatics Research field: dendrometry, statistics, biometrics, forest management We are a modern university, teaching and researching agriculture, forestry, economics and technical disciplines
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of research projects (including international cooperation) organisational and communication skills pedagogical skills (environmental archaeology, geoarchaeology, historical ecology, GIS, statistical methods
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, thermal analysis, environmental chemistry proven publishing skills ability to publish in English ability to analyse data statistically What else do we value (what is an advantage)? communication and
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/Qualifications Enrollment in a doctoral program in the field of atmospheric sciences, environmental modeling, and related fields. Basic knowledge of statistical methods used in assessment of the relationship
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statistical data processing and working in the R language, synthetic and comparative work with a large number of sources including historical ones, fluent in English and have basic skills in at least one other
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" | "Mathematical logic" | "Number theory" | "Probability theory" | "Statistics" | Physics: "Acoustics" | "Applied physics" | "Biophysics" | "Chemical physics" | "Classical mechanics" | "Computational physics
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The Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences, Department of Forest Ecology | Czech | 2 months ago
ability to formulate herself/himself both orally and in writing. Skills in computer programming (e.g. in R), statistics (with focus on temporal analysis) and/or GIS will be valued during the evaluation
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, bioinformatics, computer science or related fields Python programming skills and experience in software development Knowledge of statistical data analysis and machine learning approaches Basic organic or medicinal
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fluorescence microscopy, image analysis basics basic statistical analysis (two-sample hypothesis testing, ANOVA, dose response modelling) (recommended) Western blot, qPCR, immunocytochemistry Good communication