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diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study
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, scientific software development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence
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of Sweden’s largest and most ambitious research initiatives, focusing on using data, computational methods, and artificial intelligence to study biological systems and processes. Stockholm University strives
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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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and, ideally, experience with machine learning or artificial intelligence are also valued. Strong written and oral communication skills in English are important for this position. Doctoral studies
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include large-scale image processing and analysis, development of deep learning based artificial intelligence (AI) algorithms, and efficient utilization of supercomputing systems. Our backgrounds range from