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teaching at the Department of Oncology-Pathology, performing administrative and management tasks, and representing the research group and the facilities at national and international meetings and conferences
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molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next
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Program for Data- Driven Life Science (DDLS) aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden
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of fluorescent probes and how we can use them to develop advanced imaging strategies for the study of cellular processes. The project will focus on the development of different spectroscopic and imaging assays
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around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and
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with mentorship from other members in the group and from Dr. Lappalainen A possibility to pursue small independent research projects and develop skills as a researcher and/or as a lab manager
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equations. Main responsibilities Research and in addition some teaching and supervision. Qualification requirements In order to qualify for the position as assistant professor, the applicant must have
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Assistant professor in Computational biology -machine learning for multimodal molecular biology data
use of machine learning for data analysis, mathematical modelling, statistics and computational simulation of molecular biological data. The subject specifically aims to develop and apply machine
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at the multicellular, cellular, and molecular levels, under conditions similar to those of the body’s tissues or organs. Duties The position involves research and teaching in the subject area. The assistant professor is
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with the purpose to provide support for bioinformatics and infrastructure to researchers in life sciences. The system development team consists of two Scrum teams that develop tools for handling big data