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Field
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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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advanced AI methods to extract meaningful knowledge from large-scale, heterogeneous, and high-dimensional biomedical and population data, often referred to as Big Data in the health and life sciences
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. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all levels, from molecular structures and cellular processes to human
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facility. Good understanding of how pre-analytical and laboratory methods can affect data quality. Quality control and analysis of large-scale proteomics data. Experience working in an accredited environment
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University. The laboratory is located at Biomedical Centre (BMC) in Lund and is equipped for high-density in vivo electrophysiology, including Neuropixels 2.0 probes, and equipment for large-scale data
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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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function is one 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
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statistical programming and statistical analysis experience in data management, and working with register data or large micro-level longitudinal databases experience in working with health inequalities and/or
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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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learning, using large-scale Neuropixels recordings combined with computational modelling. The project is embedded in a national network of data-driven life science research spanning eleven Swedish