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Choose a category below to begin. Each category opens into focused areas, and selecting a focused area lets you pick your final internship variant (your preferred track, mode and duration).

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Showing 1–20 of 50

AI Bayesian Statistics Research
Internship studying Bayesian statistics with analysis of priors, posteriors, and computational methods. Interns work with realistic case datasets.
5 focused areasClick to view more details →
Machine Learning High-Dimensional Statistics Research
Internship studying high-dimensional statistics with ML methods where variables outnumber samples. Mentor-led sessions build applied skill.
5 focused areasClick to view more details →
AI Causal Statistics Research
Internship studying causal statistics with analysis of identification, confounding, and estimation. Mentor-led sessions build applied skill.
5 focused areasClick to view more details →
AI Spatiotemporal Statistics Research
Internship studying spatiotemporal statistics with analysis of correlation across space and time. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI Survival Analysis Research
Internship studying survival analysis with modelling of censored time-to-event outcomes. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
AI Nonparametric Statistics Research
Internship studying nonparametric statistics with analysis of methods free of distribution assumptions. Interns practise on genuine research problems.
5 focused areasClick to view more details →
AI Statistical Computing Research
Internship studying statistical computing with analysis of algorithms, reproducibility, and scale. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
AI Resampling Methods Research
Internship studying resampling methods with analysis of bootstrap, permutation, and cross-validation. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
AI Multiple Testing Research
Internship studying multiple testing with analysis of error control against discovery power. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
AI Time Series Statistics Research
Internship studying time series statistics with analysis of trend, seasonality, and forecasting. Interns work with realistic case datasets.
5 focused areasClick to view more details →
Statistical Learning Theory Research
Intern research on theoretical foundations of learning algorithms, generalization bounds, and risk minimization in statistical models.
5 focused areasClick to view more details →
Functional Data Analysis Research
Intern projects analyzing continuous curves and functions as data objects using advanced statistical techniques and dimensionality reduction.
5 focused areasClick to view more details →
Bayesian Network Inference Research
Intern work on graphical probabilistic models, inference algorithms, and structure learning from observational data.
5 focused areasClick to view more details →
Robust Statistics Methods Research
Intern research developing statistical methods resistant to outliers, model misspecification, and departures from distributional assumptions.
5 focused areasClick to view more details →
Statistical Genomics Data Analysis
Intern projects analyzing genomic datasets using specialized statistical methods for variant calling, gene expression, and GWAS studies.
5 focused areasClick to view more details →
Design of Experiments Optimization
Intern research on efficient experimental designs, response surface methodology, and sequential optimization for laboratory and industrial applications.
5 focused areasClick to view more details →
Longitudinal Data Analysis Research
Intern projects modeling repeated measurements, mixed-effects models, and temporal dependencies in observational studies.
5 focused areasClick to view more details →
Compositional Data Statistics Research
Intern work analyzing multivariate data constrained to a simplex using log-ratio transformations and specialized statistical methods.
5 focused areasClick to view more details →
Statistical Network Analysis Research
Intern projects developing inference methods for complex networks, community detection, and graph-based statistical models.
5 focused areasClick to view more details →
Shape Analysis and Morphometrics
Intern research on statistical methods for shape comparison, landmark-based analysis, and geometric morphometrics in biological applications.
5 focused areasClick to view more details →