👨🏻💻👩🏻💻موقعیت پستداک📍
دانشگاه گرنوبل آلپ
فرانسه
فول فاند💶 (ماهیانه 4142 یورو)
علاقه مندان در زمینه ماشین لرنینگ و پردازش تصویر میتوانند اپلای کنند، برای اطلاعات بیشتر به ادمین کانال فراند پیام دهید.
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♦️Call for postdoc applications in affective computing (Grenoble Alps University)
⭕️Target:
The successful candidate will be working on the multi-disciplinary research which aims at creating an adaptative virtual assistant that accompanies patients suffering from cognitive disorders during the completion of cognitive remediation exercises at home. The person recruited will have the exciting opportunity to develop new machine learning techniques for the robust detection of affective behaviours from audiovisual data collected in-the-wild. Models will be embodied in the virtual agent to monitor and adapt the interaction with the patient, and the whole system will be further tested in a clinical trial to demonstrate the effectiveness of the agent for accompanying patients suffering from cognitive conditions during digital therapies.
⭕️Duration: 2 years, salary: according to experience (up to 4142€ / month)
⭕️Requirements:
The ideal candidate must have a PhD degree and a strong background in machine learning, and affective computing or cognitive science/neuroscience.
The successful candidate should have:
· Good knowledge of machine learning techniques
· Good knowledge of speech and image processing
· Good knowledge of experimental design and statistics
· Strong programming skills in Python
· Excellent publication record
· Willing to work in multi-disciplinary and international teams
· Good communication skills
#پستداك #دانشگاه_گرونوبل_آلپ #فول_فاند #ماشين_لرنينگ #هوش_مصنوعي #پردازش_تصوير
#postdoc #Grenoble_Alpes #UGA #mashin_learning #image_processing
دانشگاه گرنوبل آلپ
فرانسه
فول فاند💶 (ماهیانه 4142 یورو)
علاقه مندان در زمینه ماشین لرنینگ و پردازش تصویر میتوانند اپلای کنند، برای اطلاعات بیشتر به ادمین کانال فراند پیام دهید.
---------------------------------------------------------------
♦️Call for postdoc applications in affective computing (Grenoble Alps University)
⭕️Target:
The successful candidate will be working on the multi-disciplinary research which aims at creating an adaptative virtual assistant that accompanies patients suffering from cognitive disorders during the completion of cognitive remediation exercises at home. The person recruited will have the exciting opportunity to develop new machine learning techniques for the robust detection of affective behaviours from audiovisual data collected in-the-wild. Models will be embodied in the virtual agent to monitor and adapt the interaction with the patient, and the whole system will be further tested in a clinical trial to demonstrate the effectiveness of the agent for accompanying patients suffering from cognitive conditions during digital therapies.
⭕️Duration: 2 years, salary: according to experience (up to 4142€ / month)
⭕️Requirements:
The ideal candidate must have a PhD degree and a strong background in machine learning, and affective computing or cognitive science/neuroscience.
The successful candidate should have:
· Good knowledge of machine learning techniques
· Good knowledge of speech and image processing
· Good knowledge of experimental design and statistics
· Strong programming skills in Python
· Excellent publication record
· Willing to work in multi-disciplinary and international teams
· Good communication skills
#پستداك #دانشگاه_گرونوبل_آلپ #فول_فاند #ماشين_لرنينگ #هوش_مصنوعي #پردازش_تصوير
#postdoc #Grenoble_Alpes #UGA #mashin_learning #image_processing
🌱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
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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