Postdoc Position – Image Processing: A postdoc position is available in the field of applied mathematics and computational biology at ENS-Paris/Pasteur/College-de-France. The project aims to develop classification methods using image processing and graph theory to reconstruct glial interaction from calcium imaging data. The candidate should have a strong background in applied mathematics, computer science, or physics, along with a passion for research in image processing, machine learning, graph theory, and neurosciences.
Designation: Postdoc Researcher
Research Area: Applied Mathematics, Computer Science, or Physics
Location: ENS-Paris/Pasteur/College-de-France, Paris, France
Eligibility/Qualification:
| Qualification | Requirements |
|---|---|
| PhD degree | Applied Mathematics, Computer Science, |
| or Physics | |
| Research Area | Image Processing, Classification, |
| Graph Theory, Computational Biology | |
| Skills | Proficiency in programming languages |
| and tools | |
| Experience | Applied Mathematics, Graph Theory, |
| Computational Biology (advantageous) |
- PhD in Applied Mathematics, Computer Science, or Physics.
- Strong motivation and interest in image processing, machine learning, graph theory, and neurosciences.
- Proficiency in relevant programming languages and tools.
- Experience in applied mathematics, graph theory, and computational biology will be advantageous.
Job Description:
Postdoc Position – Image Processing, Classification, and Graph Theory in Glial Interaction Reconstruction
| Position | Postdoc Researcher |
|---|---|
| Title | Image Processing, Classification, and |
| Graph Theory in Glial Interaction | |
| Reconstruction | |
| Location | ENS-Paris/Pasteur/College-de-France, |
| Paris, France |
- Develop classification methods based on graph theory to reconstruct glial interaction from calcium imaging time-series data.
- Utilize image processing techniques to identify local interactions and reconstruct an oriented graph representing local network connectivity.
- Develop metrics to correlate the reconstructed graphs with animal behavior using machine learning approaches.
- Collaborate with the research groups led by D. Holcman (ENS), Pr. N. Rouach (College-de-France), and R. Lagache (Pasteur).
- Contribute to the fields of applied mathematics, computational biology, and neurosciences through research publications.
- Participate in international-level student training programs.
How to Apply: Interested candidates are requested to send their application, including a CV and a cover letter, to David Holeman at davidholeman@ens.f. Please mention the position title in the subject line of the email.
Last Date for Apply: Until Position Filled
