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overarching goal of identifying novel therapeutic strategies targeting pro-tumorigenic stroma–epithelial interactions in CRC. The person will focus on applying innovative bioinformatics approaches to human
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[at] uni.lu . Your profile Ph.D. degree in computational biology, bioinformatics, biology, computer science or related disciplines Strong computational skills, including machine learning, e.g. demonstrable
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cytometry, cell sorting, and immunophenotyping Hands-on experience with iPSC culture and differentiation preferred Familiarity with single-cell RNA sequencing and bioinformatic analysis is an advantage Strong
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Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data