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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 12 days ago
theory, and data-driven methods. The postdoc will work in close collaboration with an interdisciplinary group of researchers and students in control theory, signal processing, neuroscience, and sports
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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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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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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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: 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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 20 days ago
, located at Inria Paris and École Normale Supérieure (ENS). The team conducts research in various aspects of quantum information theory, including quantum error correction, quantum algorithms, and the
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(www.shape-med-lyon.fr ). The Virome@tlas project – was recently granted a prize by the SHAPEMed@Lyon consortium as part of the call for structuring projects 2023 – develops a digital platform dedicated to
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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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(Moles & Ollerton 2016). In theory, biotic interactions should impact the shape of phylogenies (Moen & Morlon 2014, Condamine et al. 2019) and the evolution of phenotypes of species. The divergent