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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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) is responsible for supporting and providing assistance to SciLifeLab’s ecosystem regarding training. The position is located in Umeå, but we work distributed across Sweden, and you will have colleagues
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processing and handling. Responsibilities might be distributed in the team according to competence and allocated resources. Qualifications You must have a PhD degree in computer science, bioinformatics
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processing and handling. Responsibilities might be distributed in the team according to competence and allocated resources. Qualifications You must have at least a Master’s degree in computer
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. This project centers on applying advanced computational tools—such as bioinformatics, machine learning, and large-scale genomic data analysis—to unravel how pathogenic Escherichia coli (E. coli) evolve and adapt
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Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge
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research school. 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
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areas, such as scientific and educational development, leadership development as well as patent and innovation support. The position is part of the SciLifeLab Fellows program and will be placed within
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interdisciplinary backgrounds and expertise to foster cutting-edge research with high clinical relevance. Project Description Imaging methods such as magnetic resonance imaging (MRI), computed tomography (CT), and
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) program. 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