Jorge M. Mendes
2 months ago
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PhD and Postdoctoral Positions in Data Science & AI for Health, Trustworthy AI, Clinical AI Translation, Precision Cardiology, and Causal & Computational Statistics NOVA Medical School in Portugal
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Jul 15, 2026
Country
Portugal
University
Nova Medical School

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About this position
DSAI Hub for Health at NOVA Medical School is recruiting for 7 PhD positions and 7 postdoctoral positions across four research pillars: Trustworthy AI, Clinical AI Translation, Precision Cardiology, and Causal & Computational Statistics.
The hub is led by two principal investigators and focuses on combining data science, AI methodology, computational cardiology, and clinical electrophysiology to produce trustworthy, clinically meaningful research. The website text also highlights work on medical imaging, especially the robustness of explainability methods under real-world data shift, including benchmarking explanation stability, comparing intrinsically interpretable and post hoc approaches, and developing methods to detect and mitigate degradation in explanation quality across settings.
This opportunity is well suited to candidates with interests in statistics, machine learning, computer science, medical science, public health, and related quantitative health research areas. The post does not list a stipend, tuition coverage, or other funding details, but it clearly presents these as open research positions rather than a scholarship call.
Application deadline: 15 July 2026.
How to apply: Visit the DSAI Hub for Health website, choose either “Apply as PhD student” or “Apply as Postdoctoral researcher,” and submit through the application form. If the buttons were previously broken, the post says the issue has been fixed and applicants should try again.
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.
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