
Supervision of Bachelor’s and Master’s Theses
Interested in writing a Bachelor’s or Master’s thesis in Medical Informatics? Students from Computer Science, Business Informatics, Bioinformatics, Data Science, and related fields are very welcome!
Theses can be carried out in the following research groups:
Machine Learning for Biomedical Data – Development and application of AI methods for analyzing biomedical data and supporting medical decision-making
Contact: Dr. rer. nat. Marius Welzel
Algorithmics & Data Visualization – Development and analysis of algorithms in bioinformatics
Contact: Dr. rer. nat. Hannah Franziska Löchel
Quantum Bioinformatics – Research and development of quantum-inspired and quantum-based methods for analyzing complex biological data, as well as modeling molecular and genomic systems
Contact: Prof. Dr. rer. nat. Dominik Heider
Medical Data Integration Center – Integration, standardization, and management of medical data, as well as participation in modern research data infrastructures
Contact: Dr. rer. nat. Tobias Brix
Computational Cardiology Research Group – Development of computational models and analysis methods for studying cardiovascular diseases, simulation of electrophysiological processes, and data-driven support for clinical decision-making
Contact: Dr. med. Antonius Büscher
We offer:
Participation in current research projects
Practice-oriented topics with academic supervision
Interdisciplinary collaboration
Interested students can apply to the respective contact persons with a short letter of motivation, CV, and transcript of records.
Supervision of PhDs
Are you interested in pursuing a PhD in Medical Informatics, Bioinformatics, or Data Science? We offer an innovative research environment with individually tailored doctoral topics.
Work on forward-looking topics such as:
- Artificial Intelligence in Medicine
- Biomedical Data Analysis
- Digital Health Research
Contact: Prof. Dr. rer. nat. Dominik Heider
Interested candidates can apply with a short letter of motivation, CV, and transcript of records