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Web page: http://www.pressoffice.uni-koeln.de/
Country: Germany
City: Köln
Address:
University of Cologne
Universität zu Köln
Albertus-Magnus-Platz
50923 Köln
Tel.: +49 221 / 470-0
Related items
Projects: Noisy-Strep
Institutions: University of Cologne
With a background in the statistical mechanics of disordered systems, my research
focusses on the interface between statistical physics and molecular biology. At the centre is the relationship
between fluctuations and noise in biological systems, the corresponding statistical ensembles, and biological
function. This connection emerges at very different levels and timescales, from stochastic modeling of
gene expression to the population dynamics of regulatory DNA.
Projects: Noisy-Strep
Institutions: University of Cologne
Expertise: Mathematical modelling, Statistical Physics
Tools: Python, Matlab, Mathematica, Stochastic models, stochastic methods, fortran
I am a phd student working on statistical physics and complex systems and applying concepts from these fields to biology.
nfdi4health aims to create the most comprehensive inventory of German epidemiological, public health and clinical trial data to date. It builds a centralised data catalogue with elaborate search functionalities, sophisticated data access management, and a data analysis toolbox, while respecting stringent requirements for privacy concerning personal health data. Standardisation services ensure a high degree of interoperability. Use cases covering prototypical study types and areas of research show
...
Programme: nfdi4health - German National Research Data Infrastructure for Personal Health Data
Public web page: https://www.nfdi4health.de
Start date: 1st Jul 2020
Organisms: Homo sapiens
Bistable switches are the key elements of the regulatory networks governing cell development, differentiation and life-strategy decisions. Transcriptional noise is a main determinant that causes switching between different states in bistable systems. By using the human pathogen Streptococcus pneumoniae as a model bacterium, we will investigate how transcriptional fidelity and processivity influence (noisy) gene expression and participate in bistability. To study this question, we will use both
...
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=163
Organisms: Streptococcus pneumoniae