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The PhD position is aimed at understanding the bias generation and amplification process in machine learning (ML), arguably one of the most relevant issues emerging from ML technology. The candidate
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- A master's degree corresponding to at least 240 higher education credits in Electrical Engineering, Computer Science, or similar fields. - Strong background in networks, communication systems, and
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joint effort between Karolinska Institute, the Swedish Royal Institute of Technology, and Stockholm University. It hosts research groups with diverse backgrounds and expertise, creating a unique interface
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