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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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the MPN team at LAAS-CNRS, which offers a fabrication platform (cleanroom) and an electrical characterization platform (GHz VNA access), along with associated engineering support. Development
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://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https
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together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
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, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
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will ideally be developed as extensions of the ANEMOI library of the European Centre for Medium-Term Weather Forecasting. The person recruited will develop new regional weather forecasting methodologies
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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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boundary layer. The candidate will first deploy a multivariate emulator of key variables governing Arctic sea ice dynamics, trained on high-fidelity simulations developed at IGE. This emulator will be
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 20 days ago
distribution. The work also aims to improve inference efficiency by reducing dimensionality, reusing computations, and combining multiple measurements. The PhD candidate will develop, test and validate
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complex real-world data structures. Probabilistic graphical models (PGMs) have been well developed in recent years to mathematically model real-world scenarios in compact graphical representations