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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems
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XAI methods, e.g. counterfactuals in reasoning and knowledge graphs (KGs) based on domain expertise, to strengthen inferences drawn from data, and to reduce complexity of learning – by factual reasoning
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LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further information about this position is available via email from Tenure Track Assistant professor Di Wu (diwu@mmmi.sdu.dk ). If you experience
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researcher in SDU Robotics. Further information Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further information about this position is available via email from Tenure Track
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industry Qualifications (as assets): Research experience in X-ray, synchrotron, and neutron radiation facilities Research experience in solid state chemistry and crystal structure analysis A track record of