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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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and programming skills (Python preferred). Excellent written and verbal communication in English. Passion for exploring the frontiers of condensed matter physics. What We Offer · Pioneering
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using the Kokkos library, for which there is strong expertise at MdS and within the CExA [1]project. Subsequently, a Python interface will be established to make the code easily usable by the community
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