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African countries; Capabilities to set up field experiments and interpret measured data, including statistical medthods, and translate it high quality into manuscripts to be submitted; Demonstrated
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. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
and statistical evaluation # Enthusiasm for tackling demanding scientific questions and seeing them through # Strong communication skills and a collaborative mindset, both within the institute and with
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univariate and multivariate statistical analysis methods and with bioinformatics tools, including MATLAB, SIMCA, R, Python, MetaboAnalyst, KEGG, Ingenuity Pathway Analysis and other software related to omics
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analysis of non-invasive brain stimulation data. Proficiency in statistical analyses of multivariate data sets. About the Department To learn more about the Department of Neurology, please visit https
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, Experience with statistical programming tools (e.g. R, Python) for data analysis, Demonstrated interest in human-nature interactions and/or sustainability topics, Familiarity with reproducible research
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analysing eye-tracking and/or ECG data, Experience with statistical programming tools (e.g. R, Python) for data analysis, Familiarity with reproducible research workflows, research data management, and/or
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mechanical modelling, such as finite element analysis (FEA). experience of working with healthcare professionals and patients. strong knowledge of statistical methods, including non-parametric methods
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and plant analyses to assess nutrient availability and fertilizer efficiency. Design experimental protocols, supervise trials, collect data, and perform statistical analysis of experimental results