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Uppsala University, Department of Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty
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school, and taking part in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, scientific computing, statistics, physics or a
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. The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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epidemiology, statistics, bioinformatics, and cancer biology. We have both “dry lab” and “wet lab” components. Currently the group consists of 1 associate senior lecturer, 1 postdoctoral researcher, 1
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research and education at all levels. We are Uppsala University’s third largest department, with 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take
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including epidemiology, statistics, bioinformatics, and cancer biology. We have both “dry lab” and “wet lab” components. Currently the group consists of 2 postdoctoral researchers, 1 statistician (part-time
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holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD
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student will use and develop both computational and laboratory-based tools. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through