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of AI systems by a factor of 10,000 compared to conventional software solutions. In this context, the MARMOTTE project (Mott based nano-memristors networks for ultra-low-power neuromorphic computing) aims
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 days ago
Disseminate results through publications, conferences, and software tools Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09927 Requirements Skills/Qualifications Master in
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 17 days ago
Health Research (RKI, Wildau, Germany). She is an expert in phylodynamic modelling and one of the developers of the popular Bayesian phylogenetic software BEAST2. Key references Kocher, A., Krause, J
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the laboratory at the Géosciences Rennes site (Rendal platform); - chronological modelling using software developed in R language. This work will be carried out in close collaboration with other PhD students in
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are validated on mock-ups and artworks, showcased via AR exhibits at partner museums, and shared openly (data, software, DTs) through European platforms. The Centre for Research and Restoration of the Museums
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with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both
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omics and clinical data to predict clinical outcomes of interest and therapeutics. This will include implementing and applying software analysis pipelines and interpreting disease-related data together
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 27 days ago
algorithms for real robots that use language models and foundation models. Write papers and present them at conferences. Write, test, validate and document its associated software. Experiments with real robots
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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed