/ Applied Mathematics and Computational Biology
CNRS UMR 8542
ÉCOLE NORMALE SUPÉRIEURE

David Holcman, PhD

Director of Research CNRS

Group of Applied Mathematics and Computational Biology

46, rue d'Ulm

75005 Paris, France

Tél + 33 (0)1 44 32 36 61

Paris, October 28nd 2015

Research period: Position available

The group of D. Holcman (ENS) dedicated to Applied Mathematics and Computational biology offers the following training period at a graduate level. Fields covered are stochasticprocesses, PDEs, asymptotic analysis, modeling in biology, numerical simulations and Big data analysis.

Title: Reconstruction of neuronal connectivity from times series

Project: this project concerns data analysis using modeling and simulations of neuronal networks at various scales. We will use data generated by the group of G. Sumbre (ENS). The goal is to develop a method to follow and convert calcium imaging activity into functional neuronal group activity. We will use various synaptic and neural network model (Collaboration with the group G Sumbre).

Duration: at least 6 months.

Refs.

-K. Dao Duc, P. Parutto, X. Chen ,J. Epzstein, A Konnerth D. Holcman, Synaptic dynamics and neuronal network connectivity are reflected in the distribution of times in Up states, Frontiers Comp. Neuroscience doi: 10.3389/fncom.2015.00096. eCollection 2015.2015.

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.

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: