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on three main tasks. The first task is to perform centroid-moment tensor inversions for small (M < 1) induced events in the Groningen area, yielding valuable insight into the ability to invert waveforms
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mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news/articles/cd7pwezyze1o) for which we
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and the Faculty of Physics. We are seeking a highly qualified researcher with a strong background in tensor network methods, in particular the development of numerical tensor network algorithms, and
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one of the following areas: - Methodology development in wavefunction-based electronic structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods
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on theoretical and computational aspects of quantum many-body systems, including Tensor Networks, Neural Quantum States, Stabilizer formalism, Complexity measures such as entanglement and quantum magic, quantum
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tensors and local plastic strains (including operating slip systems) from Lab-4DµXRD data, in collaboration with the DTU Lab4DMade team and the Danish company Xnovo Technology ApS. Performing in situ Lab
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nanostructural information from SAXS tensor tomography Investigate how mineralized biological tissues, including bone, adapt their nanostructure to different mechanical and functional demands Help to design and
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written and oral English are a prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd
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tensors and Taylor models as tools to map neural systems onto mathematically well-understood objects. Pioneering the field, the ACT has developed several innovations, including deep learning for guidance
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written and oral English are a prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd