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nature, and the ideal candidates are comfortable with moving outside their field to understand both molecular biology and computational methods. We rely heavily on collaborations with clinicians, which
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projects are multidisciplinary in nature, and the ideal candidates are comfortable with moving outside their field to understand both molecular biology and computational methods. We rely heavily
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of Neurobiology, Care science and Society, Karolinska Institutet. The Karlström lab is located in BioClinicum, Solna campus where all of the experiments will be conducted. The Karlström laboratory is aimed
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Do you want to contribute to top quality medical research? The Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet conducts research and teaching within immunology
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against COVID-19. The team is interdisciplinary, comprising biologists, and computational biologists who collaborate to explore cutting-edge questions in B-cell immunology and malignancy. We offer a
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-sequencing, cell biology (experience of working with iPS cells is a merit), lipidomics and histological methods. Previous experience of mouse animal work including treatments, behavioural assessments
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Do you want to contribute to top quality medical research? The Strategic Research Programme in Diabetes (SRP Diabetes) at Karolinska Institutet is funding a prestigious fellowship programme for
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integrate different experimental and computational approaches for the completion of the project, including genomics, yeast genetics, high-throughput biology approaches and bioinformatics. The candidate will
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Do you want to contribute to top quality medical research? In the Social Perception Lab at Karolinska Institutet, you will find a unique opportunity to work together with top researchers in cognitive neuroscience to jointly try to understand how the brain encodes the mental state of others. To...
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at the Science for Life Laboratory (SciLifeLab) and the position is funded by its Data Driven Life Science program (DDLS). Your mission You will develop a deep learning model of the tumor microenvironment (TME) in