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conducting and analyzing molecular dynamics simulations Experience using high-performance computing platforms Experience developing neural network models Experience using AI-assisted coding tools for
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methods and bioinformatics tools for integration of multi-omics and gene regulatory networks. The long-term research goal is to answer the key scientific question “How non-coding genetic variant act
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network failures). You have excellent coding skills and hands-on experience with programming languages like Python and C++, as well as familiarity with wireless network simulation tools (e.g., ns-3) or
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network management. Experience in writing software and prototyping with strong programming skills (C/C++, Linux environments, GitHub/GitLab, AI coding, etc.) Experience in protocol stack or network
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(EpiGen; https://epigenahuscom.wordpress.com/) at the University of Oslo, Ahus Campus, Lørenskog. EpiGen is a joint research unit established by the University of Oslo (UiO) and Akershus University