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University of Rome Tor Vergata

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Funded PhD in Artificial Intelligence for Neuroimaging, NeuroAI and Health University of Rome Tor Vergata in Italy

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD position.

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Country

Italy

University

University of Rome Tor Vergata

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Keywords

Computer Science
Biomedical Engineering
Deep Learning
Neuroimaging
Artificial Intelligence
Computational Science
Neuropsychology
Medical Science
Neuromodulation
Statistics
Salud
Physics
Medical Physic
ML

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About this position

Funded PhD position at the University of Rome Tor Vergata in Artificial Intelligence for Neuroimaging, NeuroAI and Health.

This opportunity is especially relevant for students interested in artificial intelligence, machine learning, deep learning, foundation models, neuroimaging, neuromodulation, computational science, medical physics, and related health applications.

The post is shared by Nicola Toschi, Full Professor of Applied Physics, and indicates that this is a funded PhD opening. The position is located in Rome, Italy.

No detailed eligibility criteria are listed in the post, but the announcement suggests a strong fit for candidates with backgrounds or interests in AI-driven biomedical research and neuroimaging. The post also notes that the deadline is approaching.

Interested applicants should open the linked job post and follow the application instructions provided there.

Funding details

Funded PhD position.

What's required

PhD student position in an AI-focused project related to neuroimaging, NeuroAI, and health. The post implies applicants should be interested in artificial intelligence, machine learning, deep learning, foundation models, neuromodulation, computational science, and medical physics. No specific degree, GPA, or language requirements are stated in the post.

How to apply

Check the linked job posting for the application details and submit before the deadline mentioned in the original vacancy. The post says the deadline is approaching.

More information can be found here

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