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12th December 2025 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Mutli-Agent Communication to Enhance Human Learning Apply for this job
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for simulation or optimization of climate, energy, or transport systems (e.g., Fortran, Python, GAMS, XPress, Matlab). Competence in data processing and parsing, as well as data management. Strong analytical
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designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks
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code compilation, which offer a modular approach to domain-specific optimizations. Your project is expected to contribute to cutting-edge research initiatives leveraging, analyzing, and exploiting