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are looking for an Industrial PhD Student to join an ambitious project focused on building foundational models of human biology using large-scale, multimodal data. In this role, you will work at the
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Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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of the central open questions in biology. This project aims to address this challenge using cutting-edge AI and large-scale multimodal data. We are recruiting a PhD student for the project: “The code that shapes
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· Develop and apply transformer-based foundation models and machine learning methods for large-scale epigenetic datasets · Integrate longitudinal data and biological prior knowledge into AI models · Actively
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transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition
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symptoms emerge. The group combines large population-based and twin cohorts with longitudinal blood-based biomarkers, multi-omics data, and advanced epidemiological methods. The group is part of the research
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by developing data-driven approaches to identify and prioritize isoform-specific therapeutic targets, enabling a new level of precision in RNA-based treatments. The project will combine large-scale
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the development of breeding systems. Uppsala has two universities and with more than 50,000 students, a vibrant reserach-oriented student atmosphere. More information about the department/division
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. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward
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will engage with large-scale longitudinal health data, develop and validate computational models, and contribute to methods that will enable pathogen-resolved population research across the lifespan