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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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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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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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they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale
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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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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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, fundamental and strategic plant biology research is conducted on wild species, agricultural crops, forest trees, bioenergy crops, and model organisms. Our main research areas include genome analysis
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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
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Development Design new statistical and machine learning models tailored to this emerging omics modality. Multimodal Data Analysis Work with high-dimensional datasets combining quantitative RNA features
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accessibility data will also be developed. The framework will be addapted and applied to spatial data to connect the GRN models to specific tissue phenotypes and to gain a better understanding of e.g. cancer