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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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of molecular networks in cancer to advance precision medicine. By integrating high-throughput data (e.g. transcriptomics, proteomics, metabolomics) with prior knowledge of molecular interactions, we construct
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knowledge gap in cancer immunobiology and supports the development of more accurate disease models. Duties This is a unique opportunity to shape the research direction itself: you will be central to building
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circumstances. Special reasons could be sick leave, parental leave or other similar circumstances. All teaching positions at Stockholm University require the ability to collaborate and the general ability and
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and