Master/PhD in Bioinformatics and Cellular Mechanics, Germany

Deadline: 31 December 2011
Open to: highly motivated students with the educational background in biological, bioengineering or related areas of science.
Scholarship: compensation according to TV-L (German salary system)

Master/Doctoral Student in Bioinformatics and Cellular Mechanics

Mechanical factors play an important role in many basic biological phenomena on different spatial-temporal scales: from tissues and single cells to sub-cellular structures. The ability of cells to appropriately sense, process and utilize mechanical energy and signals is essential for the normal function of the entire organism. A number of severe disease, such as Cancer and Progeria, is known to be related to altered mechanical properties of the cellular matter. To reveal the mechanisms behind the observed mechanobiological phenomena, we develop novel approaches to quantitative analysis of cellular mechanics using a 3D image- and model-based framework.

Within the scope of the ongoing multidisciplinary project, the relationship between genotype and mechanical phenotype of the cell will be systematically investigated by means of the high-throughput screening of mechanical properties of RNAi-knockdowns. Successful candidate will be given the opportunity to carry out a state-of-the-art research work on an emerging, high-impact area of science between molecular biology, bioinformatics and biophysics. Work will be carried out in the division of Prof. Roland Eils within BioQuant, the Center for “Quantitative Analysis of Molecular and Cellular Biosystems” at Heidelberg University.

The position is initially limited for 3 years (for Doctoral Student).

Benefits

* interesting, varied position
* the international environment
* compensation according to TV-L (German salary system)
* opportunities for part-time work
* flexible working hours

Eligibility

Highly motivated students with the educational background in biological, bioengineering or related areas of science. Previous experience in experimental cell biology, microscopy and computational data analysis is an advantage.