Internship position at Paris Brain Institute: Deep Learning for bioimage analysis
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Anuradha kar
Nov 4, 2021, 5:24:54 PM11/4/21
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Internship position at the Paris Brain Institute: Deep Learning for bioimage analysis
We are looking for an Intern (6 months, paid) to work at the Paris Brain Institute (https://institutducerveau-icm.org/en/) in collaboration with Inria Team Aramis and Sorbonne University. We are seeking candidates with expertise in deep learning (CNN, U-net, GAN), image classification, statistical data analysis.
Project description: The project aims at developing a fully automated method for the location and characterization of the tau and Aß aggregates in histological images of the brain. The candidate will work with a large dataset of whole slide images that are fully annotated by neuropathologists yielding a set of ≈30,000 annotated aggregates of neuritic plaques in the human brain.
Further details about the project may be found in the attached project description document.
Applicant profile:
University Master or Engineering School student (last year of study) with computer science, image analysis and/or applied mathematics profile.
Excellent methodological and hands-on computer programming skills.
Programming language: Python. Libraries: PyTorch, Open CV, CUDA
Facility of understanding and manipulating mathematical models in a biological context.
We are looking for an Intern (6 months, paid) to work at the Paris Brain Institute (https://institutducerveau-icm.org/en/) in collaboration with Inria Team Aramis and Sorbonne University. We are seeking candidates with expertise in deep learning (CNN, U-net, GAN), image classification, statistical data analysis.
Project description: The project aims at developing a fully automated method for the location and characterization of the tau and Aß aggregates in histological images of the brain. The candidate will work with a large dataset of whole slide images that are fully annotated by neuropathologists yielding a set of ≈30,000 annotated aggregates of neuritic plaques in the human brain.
Further details about the project may be found in the attached project description document.
Applicant profile:
University Master or Engineering School student (last year of study) with computer science, image analysis and/or applied mathematics profile.
Excellent methodological and hands-on computer programming skills.
Programming language: Python. Libraries: PyTorch, Open CV, CUDA
Facility of understanding and manipulating mathematical models in a biological context.
How to apply: Send us your CV at the following emails:
Gabriel Jimenez – gabriel...@icm-institute.org
Anuradha Kar - anurad...@icm-institute.org
Daniel Racoceanu - daniel.r...@sorbonne-universite.fr
Gabriel Jimenez – gabriel...@icm-institute.org
Anuradha Kar - anurad...@icm-institute.org
Daniel Racoceanu - daniel.r...@sorbonne-universite.fr
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