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14 mars 2018

Simulation and Machine Learning for chromatin phenotyping through 3D Lattice Light-Sheet Fluorescence Microscopy

Catégorie : Doctorant

Open PHD position detailed here: https://uabox.univ-angers.fr/index.php/s/tIwG6pE9gLeYO09


The PHD takes place in the framework of a project dedicated to the profiling of chromatin inside individual cells through low-cost super-resolution imaging coupled to microfluidic systems as illustrated in the figure bellow. The topic is applied to in vitro cancer cell identification. The profiling of chromatin is realized in 3D with 3D Lattice Light-sheet fluorescence microscopy. The PHD is dedicated to the processing of the 3D volumes through the use of state-of-the-art machine learning approaches. To this purpose we propose to simulate both the cells and imaging systems to benchmark the different preprocessing and machine learning techniques necessary for the profiling.

The selected candidate will join an active and recognized research group in image processing and will be associated to an international project involving major European research centers in biophotonic such as the Imperial college London and Politechnico di Milano. Advanced skills in image processing and computer sciences together with knowledge in photonics and interest in the biomedical domain are necessary.

Cosupervision: Carole FRINDEL (INSA Lyon), David ROUSSEAU (Université d’Angers)

Salary: Standard Fellowship in the framework of a funded European Project.


For more information, please contact before 31 of may 2018 with motivation letter and resume:

carole.frindel@creatis.insa-lyon.fr and david.rousseau@univ-angers.fr


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