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R Programming Winter Internships

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Showing 25–36 of 50 categories
R Gene Expression Normalization
Preprocess and normalize RNA-seq and microarray data using DESeq2, edgeR, and limma packages for differential expression analysis.
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R Reproducible Research Documentation
Create dynamic research reports using R Markdown and Quarto to integrate code, analysis, and narrative in reproducible workflows.
5 focused areas Click to view more details →
R Anomaly Detection Methods
Identify outliers and unusual patterns in datasets using isolation forests, local outlier factors, and statistical threshold approaches.
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R Pharmacokinetics Data Analysis
Analyze drug concentration-time profiles and model pharmacokinetic parameters for pharmaceutical research applications.
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R Quality Control Statistical Methods
Develop control charts, process capability analysis, and statistical process control techniques for quality assurance research.
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R Ecological Niche Modeling
Build species distribution models and habitat suitability predictions using maxent, dismo, and biomod2 packages for conservation research.
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R Meta-Analysis Systematic Review
Synthesize evidence from multiple studies using meta-analysis packages to estimate pooled effects and publication bias detection.
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R Multilevel Hierarchical Modeling
Analyze nested data structures with random intercepts and slopes using lme4 and nlme packages for complex research designs.
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R Image Analysis Computer Vision
Process and analyze images using EBImage and magick packages for microscopy, medical imaging, and visual research data.
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R Extreme Value Statistical Analysis
Model rare events and tail behavior using extreme value theory and generalized Pareto distributions for risk research.
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R Tensor Data Decomposition
Analyze multi-dimensional array data using tensor decomposition methods like CP and Tucker factorization for complex research structures.
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R Dose-Response Curve Fitting
Model concentration-response relationships and estimate potency parameters for toxicology and pharmacology research applications.
5 focused areas Click to view more details →
Looking for internship topics in R Programming? Explore all R Programming internship topics and focused areas available across our internship categories.