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Join ABC Labs and KTH as an Industrial PhD Student to build data-driven models of human biology with multimodal health data — interdisciplinary impact, real-world healthcare. About the role We
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Transformer-Based Foundation Model for DNA Methylation in Longitudinal Cohorts.” The focus is on developing next-generation AI models for the analysis of DNA methylation. Using longitudinal data from, among
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to effectively train AI models based on limited and imprecise information as well as unbalanced and heterogeneous multimodal data. This needs-driven method development finds direct application in healthcare
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. You would be welcomed in the the Yant Lab (https://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models
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statistics, epidemiology, and/or validation of computational models. Clinical expertise as a medical doctor with specialization in Public Health Medicine Experience of contributing to peer-reviewed
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longitudinal cohorts, SATSA and Betula, integrating established dementia biomarkers with inflammatory, metabolic, and genetic data using advanced statistical modeling and data-driven methods. The doctoral
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framework linking DNA, 3D body shape, and motion in horses. The PhD student will work on three interconnected research directions: Multimodal modelling integrating language, visual and quantitative shape
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, volumetric analysis, and modeling of structural heterogeneity in biological macromolecules. Rather than only applying established workflows, you will explore new computational formulations and alternative ways
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project SCAPIS, medical images and clinical variables have been collected for more than 30,000 subjects. The goal is to use this dataset to train models for early detection of lung cancer (lung nodules
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, with a particular focus on identifying and characterizing rare endosomal escape events. The tasks include developing, training, and validating deep learning–based models for event detection and vesicle