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organised between the APC team and the University of Chicago team, as well as face-to-face meetings in Paris and CERN, and annual visits to Chicago A strong interest in computer science (software development
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
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library archives). * Digital Research Tools: Proficiency in bibliographic management software (e.g., Zotero, Mendeley), specialised databases, and potentially digital humanities tools. * Scientific Writing
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: LRGP (University of Lorraine – CNRS), LPSM (Sorbonne University – CNRS), the utility EDF R&D, and the process simulation software provider Fives ProSim. PHD DESCRIPTION: The PhD is part of Work Package 3
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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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analysis software); - good skills in research methods and data analysis; - strong writing skills in French; a good command of scientific English will be appreciated; - ability to work as part of a
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 14 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 | 21 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