🌱موقعیت کاراموزی یادگیری عمیق
پاریس با همكاري دانشگاه سوربن
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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 in collaboration with Inria Team 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.
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☎️برای کسب اطلاعات بیشتر با مشاورین فراند تماس بگیرید
🌐Website:
www.frandways-fr.com
Instagram :
https://Instagram.com/frand.official
🆔 @frandwaysFR
#پاريس #كارآموزي #سوربن #برنامه_نويسي #هوش_مصنوعي #ماشين_لرنينگ #ديپ_لرنينگ #تصوير_برداري_مغز
#paris #mashine_learning #deep_learning #python #image _processing #internship #sorbonne #image_analysis
پاریس با همكاري دانشگاه سوربن
——————————-
⭕️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 in collaboration with Inria Team 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.
——————————————
•°•°•°•°•°•°•°•°•°•°•°•°•°•°•°•°•°
☎️برای کسب اطلاعات بیشتر با مشاورین فراند تماس بگیرید
🌐Website:
www.frandways-fr.com
Instagram :
https://Instagram.com/frand.official
🆔 @frandwaysFR
#پاريس #كارآموزي #سوربن #برنامه_نويسي #هوش_مصنوعي #ماشين_لرنينگ #ديپ_لرنينگ #تصوير_برداري_مغز
#paris #mashine_learning #deep_learning #python #image _processing #internship #sorbonne #image_analysis