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, statistics, and machine learning. We offer a full-time position with the following benefits: Flexible working conditions including negotiable part time contract. Monthly gross salary: 54 - 72 thousand CZK
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nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group
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of Religion at the Department for the Study of Religions in the position of a postdoctoral researcher focusing on mathematical modelling of data and statistics within the Czech Science Foundation Junior Star
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learning) to empirical data. Statistical analysis. Writing research articles for publication in peer-reviewed journals. Presenting findings at conferences and research seminars. WE REQUEST Professional
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studies Application of basic and advanced statistical methods (e.g., linear/logistic regression, Cox regression, potentially also multilevel analysis, structural equation modelling, mixed-effects modelling
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physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Experience with molecular dynamics simulations (with GROMACS, OPENMM, LAMMPS, NAMD, AMBER, etc
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statistics; Experience with process-based models in ecology and biogeography; Knowledge of other programming languages (Julia, Python) and cluster-based computing. LanguagesENGLISHLevelExcellent Additional
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to work with large spectral datasets, building and managing spectral libraries or databases Proficiency in R/Python (for statistical modeling, chemometric analysis, and reproducible research) Proactive and
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• Proficiency in R/Python (for statistical modeling, chemometric analysis, and reproducible research) • Proactive and responsible approach, strong organizational skills, and ability to work in a team • Excellent
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statistical methods such as dimensionality reduction and Bayesian modeling. This project offers access to a rich, curated clinical dataset and collaboration with leading neurologists, neurosurgeons, and data