Ahmed Karam Eldaly
1 year ago
Medical imaging, AI, machine learning, deep learning, computer science University of Exeter and Université Évry Paris-Saclay in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD opportunity
Deadline
Expired
Country
United Kingdom
University
University Name
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Where to contact
Official Email
No info
Keywords
Computer Science
Biomedical Engineering
Medical Imaging
Deep Learning
Clinical Neurophysiology
French Language
Super-resolution
Machine learning
About this position
----- Fully Funded PhD Opportunity -----
We invite applications for a fully funded PhD studentship as part of a collaborative programme between University of Exeter (United Kingdom) and Université Évry Paris-Saclay (France). The successful candidate will be primarily based at Exeter, with collaborative visits to Paris-Saclay, and will receive a Double PhD Degree from both institutions.
This research will focus on developing novel image quality transfer and super-resolution techniques for low-field magnetic resonance imaging (MRI) to address the critical need for enhanced diagnostic imaging in low-resource settings.
If you plan to apply, please get in touch with the supervisors by sending your CV and a motivation letter along with your Bachelor and MSc transcripts.
Supervisors:
* University of Exeter: Dr. Ahmed Karam Eldaly
* Université Paris-Saclay: Prof. Désiré Sidibe
* Université Paris-Est Créteil : Dr. HDR. Alice Othmani
*Project details: Please see attached file
*How to apply: https://lnkd.in/dCNvxw_p
*Application Deadline: 31 March 2025
*Project Start Date: October 2025
PhD Scholarship MRI LowField Low_field_MRI Super_Resolution IQT Medical Imaging AI MachineLearning DeepLearning ComputerScience Exeter UnitedKingdom UK Paris Saclay France
We invite applications for a fully funded PhD studentship as part of a collaborative programme between University of Exeter (United Kingdom) and Université Évry Paris-Saclay (France). The successful candidate will be primarily based at Exeter, with collaborative visits to Paris-Saclay, and will receive a Double PhD Degree from both institutions.
This research will focus on developing novel image quality transfer and super-resolution techniques for low-field magnetic resonance imaging (MRI) to address the critical need for enhanced diagnostic imaging in low-resource settings.
If you plan to apply, please get in touch with the supervisors by sending your CV and a motivation letter along with your Bachelor and MSc transcripts.
Supervisors:
* University of Exeter: Dr. Ahmed Karam Eldaly
* Université Paris-Saclay: Prof. Désiré Sidibe
* Université Paris-Est Créteil : Dr. HDR. Alice Othmani
*Project details: Please see attached file
*How to apply: https://lnkd.in/dCNvxw_p
*Application Deadline: 31 March 2025
*Project Start Date: October 2025
PhD Scholarship MRI LowField Low_field_MRI Super_Resolution IQT Medical Imaging AI MachineLearning DeepLearning ComputerScience Exeter UnitedKingdom UK Paris Saclay France
Funding details
Fully funded PhD opportunity
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We are excited to announce an opportunity for a fully funded PhD position in co-diplomation between University of Exeter (UK) and Université Évry Paris-Saclay (Fr) ! This is a unique chance to work at the intersection of cutting-edge research and international collaboration.
?? Supervisors:
?? University of Exeter – Ahmed Karam Eldaly .
?? Université Paris-Saclay – Désiré Sidibe
?? Université Paris-Est Créteil – Dr. HDR. Alice Othmani .
?? Project details: Please see the attached file for more information.
?? How to apply: https://lnkd.in/dCNvxw_p
?? Application Deadline: 31 March 2025
?? Project Start Date: October 2025
We welcome highly motivated candidates eager to push the boundaries of research. If you’re interested, don’t miss this opportunity—apply now or share with your network!
# PhD # Hiring # ResearchOpportunity # AI # UniversitéParisSaclay # UniversityOfExeter