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expression in particular cell types, genetic mouse models and viral vectors to control receptor signaling in particular cell types, and advanced behavioral analysis to test functional consequences of our
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
letter to the email address: petra.brozova@vsb.cz until 6. 4. 2026. In the subject of the email, please state "Open Call for the position of the Research Assistant/Researcher for Advanced Data Analysis
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knowledge of statistical analysis (e.g., R or equivalent) Openness and motivation to apply for a student grant or external funding during the PhD Additional advantages (not required but welcome): Experience
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motivated postdoctoral researcher with strong experimental and omics data analysis expertise in metabolomics and transcriptomics to join our newly established Laboratory of Cardiometabolism. Our research aims
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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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information about the study programme Offer of dissertation topics: Advanced computational frameworks for interactive spatial transcriptomics analysis of CNS disorders Codon Degeneracy as a Source of an
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and chemometrics. The tasks include the development and application of spectroscopy-based methods as alternatives to traditional chemical analyses, spectral data processing and multivariate analysis
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alternatives to traditional chemical analyses, spectral data processing and multivariate analysis, spectral interpretation, chemometric model development (preferably using R and/or Python). Ability to work with
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educator in statistics and/or modern data analysis (including ML/DL). Research scope – expertise in any of the following areas • statistics, data analysis, and information theory, • machine learning, deep
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about the study programme Offer of dissertation topics: Analysis of selected holistic concepts of philosophy and natural sciences in the period of the late Enlightenment and the era of Naturphilosophie