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Doktorand i hälsovetenskap med inriktning hälsoinformatik

Kalmar, Sweden💼 Full-time🗓 2026-08-24 → 2026-09-26

Core

Developing and evaluating machine learning models to predict adverse drug reactions or medication problems using structured and unstructured clinical data from electronic patient journals.

Role type

PhD researcher (Health Informatics & AI)

Builds

Predictive AI models for clinical decision support

Domain

Health informatics, artificial intelligence, pharmacovigilance

Deliverable

production ML models

Required skills

Machine learning, deep learning, natural language processing, predictive modeling, data handling, advanced statistical modeling, Python programming

Preferred skills

Experience with electronic patient journal data, structured and unstructured health data analysis, clinical knowledge database integration, software development for research, data visualization, pharmacovigilance research, interdisciplinary collaboration

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