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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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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 to receiving your
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of at most 20%, including teaching and administration, may also be included in the employment. Requirements To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in
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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
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-scale datasets generated in the Piazza laboratory, public structural proteomics datasets, state-of-the-art mass spectrometry infrastructure at SciLifeLab, and high-performance computing resources
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, proteomics, long-read sequencing). Familiarity with machine learning approaches, particularly artificial neural networks, and their application to biological data. Experience with workflow management systems