For a research project investigating cancer therapy and tumor cell biology of renal cell carcinoma. The project will focus on the bioinformatic analysis of transcriptomics data, particularly spatial transcriptomics combined with single cell datasets, as well as spatial multiplex immunofluorescence data. It offers the opportunity to develop novel bioinformatics solutions. Functional studies using 3D tumour cell models complement the data sets in order to enhance our understanding of tumour biology in renal cell carcinoma. The project will be closely linked to clinical aspects of cancer research. Bioinformatic analysis of multi-omics data with focus on single-cell and spatial transcriptomics RNA sequencing data to elucidate the tumor microenvironment and its influence on cancer progression and metastasis in renal cell carcinoma Integrating multi-omics data sets (e.g. genomics, metabolomics) of primary tumors and metastasis through innovative bioinformatics analysis applicable to high-dimensional data Integrated analysis of clinical phenotypes and -omics data using biostatistics and bioinformatics Application of a broad spectrum of established tools and development of new computational solutions with focus on single-cell and spatial transcriptomics RNA seq and data integration Enthusiasm to present scientific results at international conferences and writing papers for high-quality publications to ensure greatest possible success in your career track