Your tasks:

• Characterizing human immune-cell populations and their functional states using multiparameter flow cytometry and high-dimensional immune phenotyping.
• Investigating cellular interactions and immune networks by integrating phenotypic, functional and molecular data from immune cells and tissues.
• Studying immune responses to cellular therapies, including the mechanisms underlying immune depletion, reconstitution and tissue regeneration following CD19 CAR-T-cell therapy.
• Generating and analyzing molecular data using approaches such as bulk and single-cell RNA sequencing and other transcriptomic or spatial technologies.
• Establishing and applying experimental models to investigate mechanisms identified in human samples, including selected mouse models of intestinal inflammation, immune reconstitution and tissue regeneration after CD19 CAR-T-cell therapy.
• Developing and combining experimental and analytical approaches ranging from established methods such as ELISA, Western blotting and flow cytometry to advanced multidimensional cytometry, UMAP-based analysis and transcriptomic approaches.
• The project offers substantial scope to develop an individual scientific profile. Previous experience with these techniques is welcome, but curiosity, scientific independence, willingness to learn, and enthusiasm for understanding how immune cells interact in human disease are similarly important.

Essential experience/ qualifications:

• Above the average motivation and work ethics
• Strong theoretical and practical background in standard methods of molecular and cellular biology as well as cellular immunology
• English writing and speaking skills
• Ability to work together in a multi-national team that is supportive of one another
• A master degree (M.Sc.) in immunology, biology, molecular biology, molecular medicine or equivalent

additional advantages:

• Experience in omics data science
• Hands-on experience in human immunology