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The CS-IRTG vision is to train and educate a scientific community of PhDs or MD/PhDs with a strong dedication to improve lung cancer diagnostics and therapies. Therefore, methods from a broad range of pathology, genetics, oncology, and data sciences are being applied. Above-average dedication to lung cancer research and willingness to engage in scientific exchange programs with the partner institution in Germany and Korea are mandatory for successful applicants.
Equally, we ask for team building and openness for scientific collaboration in an international environment.
Genomic instability driven by p53 deficiency
Instability in tumor genomes and effects on microenvironment driven by metabolic shift and stress, .
Heterogeneity in KRAS-driven tumors and tumors with germ-line variants for lung cancer risk.
In silico technologies that reconstruct evolutionary trajectories and AI-based analysis of tumor features.