Postdoc in health data science at the Pioneer Centre for SMARTbiomed - Vacancy at Aarhus University

About your research project

As Postdoc in health data science your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance.

Your main tasks will consist of:

• Independent research of high international quality, including publication.
• Development of transformer (or similar) architectures to predict diabetic complications based on data from electronic health records, cohorts and the Danish registries.
• Curation of a multimodal dataset based on clinical data from Steno Diabetes Center Aarhus and the Danish registries.
• Designing and implementing embedding strategies to integrate heterogeneous data modalities including biomarkers, prescription data, clinical free text, and retina images.
• Training and evaluating deep learning models at scale using the computational infrastructure at GenomeDK (Aarhus University) and the Machine Learning Platform of the Central Denmark Region.
• Implementation of robust evaluation frameworks beyond discrimination, including metrics in the survival framework, calibration analysis, and clinical utility assessments.
• Supporting reproducibility and open science practices, including code documentation, version control, and optional contribution to software packages.
• Collaboration across disciplines e.g. working with clinicians to develop clinically translatable and fair prediction models.

 

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