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the Science for Life Laboratory (SciLifeLab) network, a national research infrastructure with a mandate to enable cutting-edge life science research in Sweden. The successful candidate will join the Scientific
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. The division is an important part of the eSSENCE e-science collaboration and of the Science for Life Laboratory (SciLifeLab ) network, a national research infrastructure for life sciences. The successful
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– protein interactions or enzyme optimization. Main responsibilities The candidate will use and develop methods within one, or multiple, of the following categories: Optical engineering, fluorescence
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, molecular communication, and systemic molecular networks, and to identify how these processes change across physiological and disease states. Through this work, you will develop predictive and biologically
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enjoys a wide network of strong international collaborators all around the world, for example at the University of Oxford, the University of Melbourne, and the University of California, Los Angeles. We
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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Medicine (WCMTM) and SciLifeLab in the University of Gothenburg. and is tightly connected to a broad network of international collaborators. Duties Develop and perform high-resolution spatial transcriptomics
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more about Doctoral studies (PhD) | KTH | Sweden . Union representatives Contact information for union representatives. Doctoral Student’s network (Students’ union on KTH Royal Institute of Technology
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. Doctoral Student’s network (Students’ union on KTH Royal Institute of Technology) Contact information for PhD chapter . To apply for the position Apply for the position and admission through KTH’s
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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