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Edgar Guevara Codina

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SECIHTI

Postdoctoral Fellowship in Machine Learning for Neuroimaging (fNIRS) Universidad Autónoma de San Luis Potosí in

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Universidad Autónoma de San Luis Potosí

University

Utsunomiya University

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Keywords

Computer Science
Medical Imaging
Neuroimaging
Neuropsychology
Medical Science
Statistics
Machine learning

About this position

SECIHTI postdoctoral fellowship opportunity in machine learning and neuroimaging, with a specific focus on fNIRS. The post is shared by Edgar Guevara Codina (Professor at Universidad Autónoma de San Luis Potosí), who is looking for motivated postdoctoral candidates to apply.

This is a research-oriented postdoctoral opening for candidates interested in combining computational methods, machine learning, and brain imaging/neuroscience. The fellowship call linked in the post is the Convocatoria 2026 Estancias Posdoctorales por México from SECIHTI.

Eligibility highlights: applicants should be postdoctoral candidates who meet the fellowship criteria and have a strong interest in machine learning applied to neuroimaging. The post does not list detailed academic prerequisites, but it clearly asks for motivated candidates aligned with the research area.

Funding: the opportunity is a SECIHTI postdoctoral fellowship. The post implies funded support, but no stipend amount, duration, or exact coverage is stated in the social post.

Application: interested candidates should send their CV to the contact email provided by the announcer and review the official SECIHTI call for full instructions and deadlines. The post notes that the deadline is near.

Research keywords: machine learning, neuroimaging, fNIRS, neuroscience, postdoctoral fellowship, medical imaging.

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.

More information can be found here

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