Reaseach projects for bachelor and master students
We offer several internship projects. Bachelor students and Master students from ETH Zurich (D-INFK, D-BSSE, D-BIOL, D-MATH), but also mobility students from EPFL are welcome to apply.Proposed topics include:
- Differentially private random survival forests [machine learning]
- Post-training calibration of risk measures and survival functions [machine learning]
- Infering ploidy and purity of cancer samples [machine learning, C/C++]
- Reconstruction of gene regulatory interactions using machine learning [machine learning]
- Neural networks for signal deconvolution in cancer transcriptomics data [machine learning]
- Deconvolution of epigenetic data from mixed tumor samples [deconvolution, computational methods]
- Transcriptional heterogeneity in mesothelioma [data analysis, biology]
- Assessing intra-patient methylation in cancer [data analysis]
- Creating a package for single malignant cell simulation [machine learning, programming]
- Assigning labels to malignant cells using scoring [machine learning]
- Assessing the stablity of differential expression analysis under clustering errors in scRNA-seq [data analysis]
- Infer copy number variations from single-cell transcriptomics data using Hidden Markov Models [machine learning, programming]
- Linking malignant cell signatures and the tumor environment in a spatial context [machine learning, data analysis, biology]
- Representing axes of variation at t-SNE and UMAP [programming, short project]