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quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and
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for replication timing and directionality, GRO-seq for nascent transcription, and DRIP-seq for R-loop detection. These methods allow us to integrate replication, transcription, and DNA repair features at nucleotide
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members of the lab to integrate new methods into our current workflows participate in DEEP-DV meetings (online and at various locations in Germany), regularly interact and collaborate with DEEP-DV members
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, and regulate plasticity. We use cutting-edge methods (multi-omics, single cell, live cell imaging, modelling, chromatin biochemistry as well as various developmental, stem cell, and cell biology systems
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl