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networks (GNNs) to accelerate therapeutic target identification. GenePPS aims to overcome current limitations of perturbation modelling by integrating large-scale single-cell foundation models with
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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 | 17 days ago
nationalities. The research project will lay the theoretical foundations for general network steering by: (i) Identifying its genuine concepts and manifestations, (ii) developing tools for its characterization
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techniques; Structural and functional characterization of interfaces and junctions, in particular through nanoscale analyses; Development, adaptation, and optimization of experimental methodologies
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opportunities for independence, international networking, and leadership development in preparation for future fellowships. Where to apply E-mail rita.manco@inserm.fr Requirements Research FieldBiological
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is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 3 months ago
the PEPR Future Networks , and its PERSEUS project. PERSEUS focuses on the technologies, processing and optimization of next-generation cellular cell-free networks. This includes the development of robust
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
has worked for over a decade on advancing the theoretical foundations of reinforcement learning, using a combination of tools from statistics, optimization and control, in order to build more efficient
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sources and can host controllable spins for quantum memory and processing. Integrating spin and photonic properties enables efficient quantum networking through entanglement, while embedding these centres