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crosstalk in colorectal cancer initiation, progression and therapy resistance. Using state-of-the-art single-cell RNA sequencing (scRNAseq) and spatial transcriptomics on CRC patient samples, we have
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related field Demonstrated experience in interdisciplinary research and excellent digital literacy Strong interest in historical data, machine learning, data visualization, or digital hermeneutics Strong
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of Prof. Tejpar at the KU Leuven, investigates stromal-epithelial crosstalk in colorectal cancer initiation, progression and therapy resistance. Using state-of-the-art single-cell RNA sequencing (scRNAseq
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, among others, the following tasks: Carry out research in the field of Data Anonymization and Synthetic Data Generation, such as: Research state-of-the-art anonymization techniques Analyze and assess risks