University of Heidelberg

Research Training Group: Mathematical Modeling for the Quantitative Biosciences (MMQB)

Research Program

Computer simulation of cell adhesion onto the BioQuant logo | Graphics: Philipp Albert

Mathematical modeling is a powerful technique to address key questions and paradigms in diverse systems using a precise quantitative approach.

The RTG Mathematical Modeling for the Quantitative Biosciences aims at introducing PhD students to a broad range of mathematical approaches used to study biological systems.

The Research Training Group will focus on applying modeling, analysis and simulation methods to biological systems at different levels of abstraction - gene regulation, signaling pathways, mechanical cell properties and cell populations.

In order to tackle these particular levels of abstraction, different, but widely overlapping methods will be employed, e.g. deterministic and stochastic, multiscale and spatio-temporal modeling approaches.

PhD students will work directly at the interface between mathematics, physics and biosciences by gaining first-hand experience in collaborating with the other experimental research groups. Each individual PhD project will be supervised by a principal investigator in close collaboration with their experimental partners.

Mathematical and computational models will be developed and validated iteratively, based on data obtained by collaborating experimentalists. Providing insights into the complex dynamics, the models will be used to evaluate the data and to design new experiments.


PhD projects:

Contact: E-Mail (Last update: 10/02/2017)