-
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
-
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
-
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
-
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
-
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
-
, 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
-
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