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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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technical excellence at the service of education, research, and innovation. As part of the project led by the SOTERN team in connection with the CREACHLABS grant—which aims to reconstruct, at the network
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. LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelExcellent Research FieldChemistry » Analytical chemistryYears of Research Experience1 - 4 Additional Information Benefits Salary: 2400 euros net Selection process Write a
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-month postdoctoral contract focusing on data processing and the retrieval of information on aerosol heterogeneity from photometric observations made by the AERONET network. This position is part of a
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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
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to and supervise their biological activities within the collaboration network. In collaboration with LUMA consortium, use of nanoscintillators, gold nanoparticles or biocompatible fluorescent organic NPs
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(Python required; R, C++ appreciated). Strong interest in network modeling, multi-criteria optimization, or graph theory. Skills in statistics and data analysis. Experience in 3D modeling, phenotyping
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
between the device-dependent and the device-independent scenario, and (iv) developing its applications in communication, computation, and security tasks Where to apply Website https://jobs.inria.fr/public
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sustainability issues. In particular, the “Probability/Optimization” group focuses on the theoretical understanding of algorithms used in machine learning, for training large neural networks and tuning
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on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and biomechanical variables