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 availableCountry
Universidad Autónoma de San Luis Potosí
University
Utsunomiya University

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Keywords
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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