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understanding of the clinical aspects of breast cancer to assess the performance and relevance of the integrated data. Advanced computational methods, including Artificial Intelligence and machine learning, will
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future tools for bioengineering, biophysics and cell biology. Our diverse team of physicists, biologists, chemists, and computational biologists is a leading group in the field of DNA nanotechnology
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biochemical and molecular biology approaches, DNA and RNA sequencing and CRISPR-based genome editing to investigate the relationship between genome dynamics and topoisomerase activity. The PhD program at
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questionnaires and biological samples. The PhD student will manage databases, formulate hypotheses, write analysis protocols, program, analyze data, interpret and present results, and write scientific papers
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adapting work plans aligned with the project objectives, designing and conducting both wet lab and computational experiments, and analysing results. Regular discussions with supervisors and team members
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responsible, well-organized and highly motivated student to pursue a 4-year doctoral program. Prior experience in human immunology research and multicolour flow cytometry (including data analysis in Flowjo) is
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responsible to follow the general rules and regulations and time plan of the doctoral program. What do we offer? A creative and inspiring environment full of expertise and curiosity. Karolinska Institutet is
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, computational analysis of large-scale data, as well as handling and working with model organisms. For more information about the group, please visit www.wredenberglab.com Division of Molecular Metabolism
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have previous experience in immunological research, mouse handling and computational biology It is a merit if the applicant has some experience with flow cytometry analysis and cell sorting as