How do cells coordinate their behavior to migrate, self-organize, and remodel tissues? To answer this, we combine advanced quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and engineered 3D hydrogels, we will experimentally probe the mechanical forces and physical constraints that drive coordinated cell behavior. In parallel, we will develop and apply computational models and machine learning approaches to quantitatively analyze experimental data and predict emergent multicellular behaviors under varying mechanical and chemical environments.
Table of Content
Summary
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Benefits
- Exciting projects
- Further training
- Interdisciplinary collaboration
- Part of research innovation
- Further advantages
Requirements
- Interested in bridging wet-lab experimentation and quantitative theory to study biological systems
- Background in one or more of the following fields:
- Cell biology, biophysics, biomedical engineering, or related disciplines
- Quantitative imaging, data analysis, or computer vision
- Numerical modeling of biological systems or continuum mechanics
- Machine learning/AI, particularly explainable AI (XAI)
- Hands-on experience with biophysical techniques (e.g., traction force microscopy, microfluidics, 3D hydrogels)
- Excellent English communication skills and a strong interest in interdisciplinary research are essential
Application Documents
- Letter of motivation (including research interests)
- CV
- List of publications (if applicable)
- Contact details for two academic referees
Application Deadline
November 12, 2025How To Apply
Are you qualified and interested in this opportunity? Kindly go to
University of Münster on p78quickapply-r3jdhzllus.dispatcher.eu2.hana.ondemand.com to apply
For more information, kindly visit University of Munster scholarship webpage.
