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Ammar Alsheghri

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Postdoc in Deep Learning for Medical Imaging and Multimodal Medical Image Analysis at King Fahd University of Petroleum and Minerals King Fahd University of Petroleum and Minerals in Saudi Arabia

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Saudi Arabia

University

King Fahd University of Petroleum and Minerals

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Medical Imaging
Deep Learning
Medical Science
Multimodal Analysis

About this position

King Fahd University of Petroleum and Minerals (KFUPM) is hiring a postdoctoral researcher in deep learning for medical imaging and multimodal medical image and data analysis.

The role is aimed at highly motivated recent PhD graduates and is especially relevant for candidates working in computer science, biomedical engineering, medical science, and related AI/image analysis areas. Research topics mentioned include classification, segmentation, generation, and regression for medical imaging, as well as multimodal analysis of medical images and data.

Eligibility highlights: PhD awarded in 2024 or later from a reputable university, strong record of ISI-indexed publications, and demonstrated research excellence in relevant fields.

Funding and benefits: competitive tax-free salary, housing allowance, comprehensive medical coverage, 30 days of paid annual leave, and more.

How to apply: send your CV to [email protected]. Only shortlisted candidates will be contacted.

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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