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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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for therapy. To do this, we interrogate the spatial relationships between B and T cell clones and their immediate niches within tissues using our in-house developed spatial transcriptomics-based technology
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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally
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Gothenburg. We offer a creative and inspiring environment full of expertise and curiosity. The Karolinska Institute is one of the world’s leading medical universities. Our vision is to pursue the development
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an international, stimulating, and collaborative research environment where your scientific career development is promoted. The project aims to track strain wide differences within human gut bacteria species in
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The project aims to develop probabilistic deep learning models
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The project aims to develop methods in three-dimensional spatial
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of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching. Therefore, the doctoral