CNRS UMR 8542
ÉCOLE NORMALE SUPÉRIEURE
David Holcman, PhD
Director of Research (interdisciplinary),
Group of Applied Mathematics and Computational Biology
46, rue d'Ulm, 75005 Paris, France
Tél + 33 (0)1 44 32 36 61
Paris, September29nd 2016
Research period: Position available
The group of D. Holcman at ENSdedicated to Applied Mathematics and Computational biology offers the following training period at a graduate or postgraduate level. Fields covered are stochastic processes, image processing and data analysis.
Title: Extracting chromatin properties of the nucleus from analysis of trajectories of several correlated locus.
Project: This project aims at combining mathematical modeling and stochastic coarse-grained simulations to extract novel statistics from trajectories of two particles that represent two monomers located on a single polymer. The biological framework for this project is accidental DNA breaks (DSB) repairand the analysis of Single Trajectories of DNA locus invivo.
We shall combine stochastic polymer physics, modeling, numerical simulations and data analysis to extract features and predict the dynamics of two correlated particles. We will analyze trajectories generated by polymer models using numerical simulations. Within this approach, we will extract biophysical parameters and reconstruct the local physical properties of the chromatin structure in vivo. Collaboration with K. Dubrana (CEA) and S. Gasser (FMI, Basel).
Duration: at least 6 months.
References:
-S A. Amitai, M Toulouze K. Dubrana D. Holcman, Analysis of single locus trajectories for extracting in vivo chromatin tethering interactions PloS Computational Biology, 2015.
-A. Amitai, D. Holcman, Diffusing polymers in confined microdomains and estimation of chromosomal territory sizes from chromosome capture data, Phys. Rev. Lett. 110, 248105 (2013).
-A. Amitai, I. Kupka D. Holcman, Kinetics of diffusing polymer encounter in confined cellular microdomains, J. Stat. Phys. 153, no. 6, 1107–1131. (2013).
Candidate: The candidate for this position is expected to be strongly motivated by mathematical and biological sciences. He/she should have a background in applied mathematics. The candidate should be passionate by her/his research. Students are encouraged to write a publication at the end of the training period. We strongly encourage student motivated to continue on a PhD thesis. The group has a strong tradition in training students that are joining top international institutions.
Applicants should send
- a letter of application,
- curriculum vitae,
Contact information:
David Holcman
46, rue d’Ulm, 75005 Paris
France
Email:
webpage:
Applied Mathematics and Computational biology - ENS
46, Rue d’ULM, 75230 PARIS CEDEX 05 - FRANCE
Tél Secrétariat : 01 44 32 39 32, Fax : 01 44 32 23 23, E-mail: