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- Institute of Computer Science of the Czech Academy of Sciences
- MASARYK UNIVERSITY
- Charles University, Faculty of Mathematics and Physics
- Faculty of Environmental Sciences, Czech University of Life Sciences Prague
- Institute of Physiology of the Czech Academy of Sciences
- Masaryk University - Faculty of Arts
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Field
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operating systems, good programming skills in one or more languages (Python, Fortran, UNIX shell) and knowledge of basic statistical techniques. Requirement profile: - Strong theoretical background in
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on analysing modern and historical textual records through the lenses of graph-network analysis, statistics and machine learning. The topics include: * Topic: Networks in Historical Scholarly/Philosophical
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the lenses of graph-network analysis, statistics and machine learning. The topics include: * Topic: Networks in Historical Scholarly/Philosophical Writings Analysis of late medieval scholarly manuscripts
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papers as the lead author. Performing data management and statistical analyses, including multivariate and GLM statistical analyses (using R, Canoco, or similar tools). Preparing biological samples
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technology, animal work (including metabolic assays, bone analysis, drug administration etc.) Basic command of English, PC literacy, proficiency in statistical programs, working in R is advantage Track record
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, Journal of Economic Behaviour and Organization, Oxford Bulletin of Economics and Statistics, Scientific Reports. The administrative staff is experienced in helping researchers with both national and
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(or approaching PhD) in Psychology, Cognitive Science, Neuroscience or a related field. Competence in designing and executing behavioural/neuroscientific experiments. Fluent in statistical code in either R, Python
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/neuroscientific experiments. Fluent in statistical code in either R, Python, or Matlab. English language (B2 or higher). At least one first-author publication (pre-prints are eligible). Ability to work