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  3. Modeling, Inverse Problems and Machine Learning in Cryogenic Microscopy using Three-Dimensional Tomography

Modeling, Inverse Problems and Machine Learning in Cryogenic Microscopy using Three-Dimensional Tomography

We are looking for a motivated PhD candidate to develop new tools for tomography imaging. This PhD position is fully funded, starting in fall 2025 for a duration of 36 months. 

Keywords: Image Reconstruction, Cryogenic Electron Tomography, Modeling, Deep Learning,
Computational Imaging. 

Expected skills: The successful candidate will develop skills in signal processing, machine learning, computer science, and applied mathematics. An understanding of the physics of the acquisition system and of the biological issues addressed by cryo-tomography will be important, yet no previous knowledge in physics or biology is required.

How to apply? Please send a curriculum and your academic records to valentin.debarnot@creatis.insa-lyon.fr and voichita.maxim@creatis.insa-lyon.fr. This position will remain open until a suitable candidate is found.

Téléchargements

CryoET_modeling_0.pdf (1009.55 Ko)

Type

sujet de thèse

Statut

Recrutement en cours

Periode

2025-2028

Contact

Valentin Debarnot, valentin.debarnot@creatis.insa-lyon.fr

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