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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

The CREATIS laboratory announces the opening of a 36-month, fully funded PhD position starting
in September 2025. See details in  the PDF file on the top right of the page.
Keywords: Image Reconstruction, Cryogenic Electron Tomography, Modeling, Deep Learning,
Computational Imaging, Optimization.

Expected skills: To successfully complete this project, skills in mathematics, signal processing,
machine learning and computer science are required. An understanding of the physics of the
acquisition system and of the biological issues addressed by cryo-tomography will also be essential.
No previous knowledge in physics or biology is required, but an interest in these topics will be
highly appreciated.
The work carried out in this thesis will be supported by the expertise of the TOMORADIO
host team, whose members are interested in other tomographic imaging modalities, particularly in
medical imaging.

How to apply? Please send a curriculum, a motivation letter, and your academic records before
May 12th to valentin.debarnot@creatis.insa-lyon.fr and voichita.maxim@creatis.insa-lyon.fr . 

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Sujet de thèse (16.37 Mo)

Type

sujet de thèse

Statut

Recrutement en cours

Periode

2025-2028

Contact

valentin.debarnot@creatis.insa-lyon.fr, voichita.maxim@creatis.insa-lyon.fr

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