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applying interpretable AI / machine learning / deep learning / information-theoretic methods and algorithms in the context of multiscale biological networks, ranging from molecules (protein chemistry) to
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, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social
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Fuzzing) in IoT (Wireless) networked systems; Research on IoT honeypot and threat intelligence. Qualification & Experience: PhD degree in Computer Science, Computer Engineering, or related field
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