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of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.). - Conduct cutting-edge research at the intersection of quantum information, machine
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cost of mass accretion with a quadratic penalisation of deviations from a target curvature. This action functional provides a unifying variational principle for growth, where incompatibility is measured
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the various input and output datasets - Investigate the loss function for a multivariate regression output with very different ranges in the target variables and unknown density distributions - Investigate
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models that account for the dynamics of the actin polymer population in the cell cortex. The analysis will be carried out using probability theory and simulation tools, and will be based on a real effort
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) forms, Iwasawa theory, algebraic cycles, Shimura varieties, p-adic Hodge theory.. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR822-SOPRIB-008/Default.aspx Work Location(s
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: https://gdusson.perso.math.cnrs.fr/offre_postdoc.pdf The main objective of this postdoctoral position is to work on nonlinear model-order reduction, with a particular focus on the development and
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the experimental results within the framework of recent theories related to charge ordering. • Design and implementation of experiments on thin-film growth and topotactic reduction; • Active participation in
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at the Institut de Neurosciences de la Timone (INT), a CNRS / Aix-Marseille University laboratory on the Timone campus in Marseille. You will work in the team of Dr Bruno Giordano. The NASCE project combines
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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expertise in Traveling Wave Parametric Amplifiers (TWPAs). This position is funded as part of the Q-LOOP project. The aim of this project is to explore scaling solutions for solid-state qubtis. Our team