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Union within the project “A Comprehensive Trustworthy Framework for Connected Machine Learning and Secure Interconnected AI Solutions (CoEvolution)”, - CUP F23C24000210006 – selection code: ipd_10D_0426_09/IINF
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-edge research that enhances the security of interconnected and intelligent systems, including industrial IoT, smart grids, autonomous manufacturing processes, and critical infrastructure. The successful
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from tumor verus normal paired DNA, as well as of data generated with RNA-seq, ChIP-seq, CUT&RUN-seq, ATAC-seq, HiC-seq, would be a plus. The candidate should have a PhD or equivalent research experience
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experience in the field of cancer pathogenesis (preferably hematological cancers). Furthermore, familiarity with (epi)genomic techniques (e.g., RNA/DNA-seq, ChIP, Cut&Run, chromosome conformation capture-seq