Publisher
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Carole Frindel

2 weeks ago

PhD in Virtual Instrumentation and Deep Learning for Glial Inflammation Detection from Diffusion MRI INSA Lyon - Institut National des Sciences Appliquées de Lyon in France

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

France

University

Institut National des Sciences Appliquées de Lyon

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Medical Imaging
Deep Learning
Mathematics
Python Programming
Neuropsychology
Neuroinflammation
Medical Science
Diffusion Mri
cognitive neuroscience
Machine learning

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About this position

PhD opportunity in virtual instrumentation and deep learning for the detection of glial inflammation from diffusion MRI at INSA Lyon.

The project is supervised by Carole Frindel (Full Professor in deep learning for medical imaging) and Hugues Berry. It sits at the intersection of computer science, biomedical engineering, neuroscience, and medical imaging, with a strong focus on machine learning, numerical modeling, MRI/diffusion MRI, and supervised learning.

Applicants should have a Master’s degree in applied mathematics, computer science, machine learning, computational neuroscience, or a related field. Useful experience includes Python or Matlab programming, numerical modeling, MRI, diffusion MRI, and supervised learning.

To apply, send a CV, university transcripts, and the contact details of potential referees to the listed email addresses. No deadline or funding details were specified in the post.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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