Offre en lien avec l’Action/le Réseau : – — –/– — –
Laboratoire/Entreprise : ICube / Université de Strasbourg
Durée : 36 months
Contact : wemmert@unistra.fr
Date limite de publication : 2020-09-15
Contexte :
In the context of the european project Mi*EDGE, the Engineering science, computer science and imaging laboratory (ICube, Strasbourg, France), associated with the Institute of Research in Computer Science, Mathematics, Automatics and Signal processing (IRIMAS, Mulhouse, France), opens a postdoctoral position for a computer scientist, in the field of artificial intelligence and histopathological whole slide images and MRI analysis, with a duration of 36 months (2020/07/01 – 2023/06/30)
Sujet :
The appointee will work in close collaboration with all the partners of the project to develop the methodology for WSI analysis, spatial patterns extraction and the machine learning approach to classify automatically histopathological and MRI images.
More specifically, the objective is to develop a complete methodology enabling to generate quantitative neuroimaging and histopathology data to calibrate the model, including spatially resolved data on tumor cell density and spatial distribution of macrophages, microglia and tumor cells in histology. Image analysis will automatically define and delineate GBM regions (core, invasion/transition zones) and exclude irrelevant areas (necrosis, bleeding, artefacts). Densities and interaction patterns of GBM in a spatially resolved, region specific way are provided to inform mathematical modeling and analyze biopsy-based and in-vitro data.
The work will also consist in developing a deep learning-based tool to distinguish relapse from pseudo-progression. Based on MRI-neuroimaging, the objective is to develop a new deep learning approach to automatically obtain a 3D segmentation of the GBM at each time and automatically analyse the evolution to differentiate between relapse and pseudo-progression.
Profil du candidat :
Computer scientist, with a strong background on machine learning and image analysis.
Formation et compétences requises :
The candidate should hold a PhD in computer science (preferably in computer vision or machine learning) and have excellent English skills (both written and oral).
Demonstrated experience in Python programming and Keras/Tensorflow or Pytorch libraries will be mandatory.
Adresse d’emploi :
ICube laboratory
300 bvd Brant
67400 ILLKIRCH (FRANCE)
Document attaché : 202006290619_2020___mi_EDGE_postdoc_position.pdf