BookUNI PhD Opportunity

Closed

Self-supervised deep learning for brain spatiotemporal series: methods and applications to MEG in epilepsy

Paris Saclay University · France

StatusClosed
University / OrganizationParis Saclay University
CountryFrance
Deadline2026-07-31
FundingFully funded
DepartmentLaboratoire Interdisciplinaire des Sciences du Numérique
Supervisormatthieu.kowalski@universite-paris-saclay.fr
Last seen2026-07-17T15:01:14+00:00
Home > PhD > France > Self-supervised deep learning for brain spatiotempo...

This PhD opportunity is closed.

The page remains available as a historical official source. Please use the related current PhD opportunities or country directory for active options.

BookUNI Summary

PhD focusing on self-supervised deep learning methods for analyzing MEG signals to detect epileptic activity. Candidates should have a strong background in signal processing and Python.

Application Information

Official Opportunity / Application Page PhDScanner https://www.phdscanner.com/api/opportunities/3c53f453-c60d-439f-9b34-ec5bb2a45ea1/apply

BookUNI provides a structured summary and route to the public source. Confirm eligibility, documents, deadline, funding and submission rules on the official page before applying.