Postdoc in Computational Biomedical Research

2 weeks ago


Copenhagen, Copenhagen, Denmark Københavns Universitet Full time

About Us

The University of Copenhagen is a leading academic research institution that pioneers groundbreaking research towards better cardiometabolic health. Through collaborative interdisciplinary research from single-cell genomics to whole-body systems, we aim to transform the basic understanding of cardiometabolic health and accelerate its translation into prevention and treatment strategies.

Our unique multi- and interdisciplinary approach combines research in genetics, physiology, and pharmacology to better understand the complex interplay of factors that drive cardiometabolic disease. We collaborate with national and international partners and thrive in interdisciplinary projects. Our inclusive atmosphere encourages diversity across all parameters.

Job Description

We are seeking a highly motivated and talented Postdoc fellow to commence on our cutting-edge project developing patient-level multi-modal foundation models for studying cardiometabolic disease. Using data from large international biobanks, you will take part in developing and training state-of-the-art deep learning-based foundation models. This includes methodologies such as neural networks, variational autoencoders, transformers, and more.

You will join our team aiming to improve precision health through training DL models on biobank-scale molecular and health data. Your tasks will also include interpreting results and disseminating them through presentations and manuscript preparation.



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