Opportunities for Master Students
Interested students have the opportunity to undertake their Master's project in the group.
We provide a list of available topics below. Please browse through the proposals and decide whether any of them would interest you.
If you are interested, please contact the person listed next to the project and use the tags "#master" and "#application" in the subject line.
The available projects summarized in the following list fall into two main areas: Machine Learning (ML) and Computational Genomics (CG). The projects are categorized accordingly.
|Large-scale clustering for compressed representation of binary matrices||Download description||ML/CG||Mikhail Karasikov|
|Boosting Bayesian models of human brain connectivity||Download description||other||Gideon Dresdner, John Samuel Harrison, Yu Yao|
|Dynamic Causal Models Meets Probabilistic Programming||Download description||other||Gideon Dresdner, Yu Yao, Samuel Harrison|
|Pathway Score Benchmarking and Phenocopy Event Identification||Download description||CG||Natalie Davidson|
|Synthesis of realistic read data using Machine Learning||Download description||ML||Matthias Hüser, Harun Mustafa|
|Scalable distance measures for nearest-neighbor retrieval of ICU patient contexts||Download description||ML||Matthias Hüser, Amir Joudaki|
|Error Correction in Genome Graphs||Download description||CG||Mikhail Karasikov|
|Frank-Wolfe for Sparse Deep Learning||Download description||ML||Alexander Immer, Gideon Dresdner|
|Subspace Analysis for Bayesian Neural Network Posteriors||Download description||ML||Vincent Fortuin, Tim Rudner|
|Meta-learning for Variational Autoencoder Priors||Download description||ML||Vincent Fortuin, Jan Stuehmer|
If you already have an idea for a Master thesis project and would like to bring it into the group, please contact us directly and we can discuss your options.