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from multi-omics datasets (epigenomics, transcription, sequence). • Using representation learning (tensor factorization framework e.g., AVOCADO) extend the predictive framework allowing imputation in
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: https://c4qec.cft.edu.pl/ The candidates are welcome to inquire about the project details, research agenda and organizational issues. The questions should be sent by email to R. Augusiak (http
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 3 months ago
. Scientific and technical challenges include, but are not limited to, compilation, execution systems, tensor arithmetic, complex system simulation, and hardware-software co-design for AI acceleration
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The i3S laboratory (https
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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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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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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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dynamics, initially focusing on quantum-inspired techniques such as tensor networks and tensor-network-based machine learning. You will then investigate how these methods can be reformulated and implemented
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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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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