Inverse Modeling of Time-delayed Cell-to-cell

Il y a 2 mois


Paris, France Michele Castellana Temps plein

**Inverse modeling of time-delayed cell-to-cell interactions**:

- Réf **ABG-126781**
- Stage master 2 / Ingénieur- Durée 3 mois- Salaire net mensuel Standard internship salary- 08/11/2024- Michele Castellana- Lieu de travail- Paris Ile-de-France France- Champs scientifiques- Physique
- Mots clés- inference, cell migration**Établissement recruteur**:
**Site web**:
With his strong tradition in biological physics, UMR168 is an ideal place to develop project at the boundary between physics and biology, with a direct experimental counterpart.

**Description**:
In this internship, we propose to use a novel statistical-inference methods to infer interactions in a population of moving cells. Given a population of cells moving in two dimensions, cell-to-cell interactions may be mediated by the diffusion of a chemical compound in the medium, by mechanical deformations of the medium, or other physical phenomena. Overall, all these phenomena imply a finite, non-null propagation time—or delay—for the signal to reach the target cell. Given the tracking data for their time-course positions, this novel statistical-inference method allows to infer the delayed cell-to-cell interactions at multiple time scales, as well as the characteristic propagation time of the signal.

**Profil**:
We are looking for a student with a solid background in programming.

**Prise de fonction**:

- Dès que possible



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