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Specialized ML research in ophthalmology with PG/PhD requirement limits applicants but ML roles remain competitive.
Medical-imaging ML focus narrows applicability, though core ML skills are moderately transferable across industries.
PG/PhD qualification plus domain ML research skills required, but no explicit years makes filtering moderately strict.
Lead research activities related to optimization, explainability, and validation of the Reti AI algorithm for stroke risk prediction and detection of silent brain infarction using retinal images.
Analyze multi-centric, multi-ethnic datasets including Pan-India cohorts and National Tele Stroke Network data for project outcomes.
Collaborate with the Principal Investigator to contribute to scientific objectives of the ICMR-funded ophthalmology project.
Postgraduate degree in relevant field; PhD desirable but not explicitly required.
Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with AI algorithm validation, retinal image analysis, or stroke risk prediction methods preferred but not explicitly specified.
Location: Kochi Campus at Department of Ophthalmology, Health Science Research (HSR) center.
Experienced in AI-based medical image analysis or related research applied to ophthalmology or neurology domains.
Able to operate in multi-disciplinary medical research settings involving large-scale, multi-ethnic cohort data.
Capable of scientific contribution to algorithm optimization and explainability in translational health research projects.