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, improve administration via intravenous instead of intrathecal routes, and decrease toxicity associated with ASO treatment. The candidate will be involved in both the generation and the testing of the ASO
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, preferably in Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as
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of the TOBI team is to enhance precision cancer management by developing innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof. Katleen De Preter is the principal
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