10 python-"Basque-Center-for-Macromolecular-Design-and-Engineering-POLYMAT-Fundazioa" Postdoctoral positions in Czech
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, spectral interpretation, chemometric model development (preferably using R and/or Python). Ability to work with large spectral datasets, including developing and managing spectral libraries or databases, is
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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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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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statistical and epidemiological methods Working experience with data analysis software, such as Stata, SPSS, R, or Mplus Experience in spatial and temporal data analysis using GIS, including RStudio/Python
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practical experience working in R and/or Python for biological data analysis and visualization …you are interested in tumor–stroma interactions, particularly immune–endothelial crosstalk …you have a
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programming language, such as R or Python Experience with atmospheric circulation classifications Active knowledge of the English language Specific Requirements Job description: Development of a methodology for
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of warming, nutrient enrichment and species invasions using size- or stage-structured population models (e.g., in R, Matlab, or Python). Writing scientific manuscripts and presenting findings at conferences
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practical experience working in R and/or Python for biological data analysis and visualization …you are interested in tumor–stroma interactions, particularly immune–endothelial crosstalk …you have a
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considered a strong advantage. Proficiency in statistical programming languages such as Python, R, is expected, as is the ability to work with complex clinical datasets and handle missing data thoughtfully
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of neural systems in common programming languages (e.g., MATLAB, Python) Experience in applying computational models to clinical applications — in particular to epilepsy Include these in your application: A