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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 24 days ago
algorithms, and to publish these results in research papers. bibliographic work algorithm design and their theoretical analysis numerical simulations writing scientific papers Where to apply Website https
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, scientific and varied tools and methodologies, to model these relations and offer simulations, best practices recommendations, and proposals for public policies linked to our scientific findings, in order to
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, scientific and varied tools and methodologies, to model these relations and offer simulations, best practices recommendations, and proposals for public policies linked to our scientific findings, in order to
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of mathematical derivations — checking proofs, running numerical simulations, implementing models in Python or Mathematica, researching the relevant literature. You do not need to be an expert in all areas the QBF
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of professor. See the details at: https://ut.ee/en/content/career-model-academic-staff . Job description, incl. requirements for academic staff. Salary Rules. More information about application documents. We
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Assistant to support applied research at the intersection of healthcare, artificial intelligence, and data analysis The primary focus of this role will be large language model (LLMs) and other machine
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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. Are you interested in tackling these challenges with cutting-edge AI sensing techniques? At the AISensing team we focus on AI-powered sensing technology, spanning large-scale AI models, simulation of next
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limitations in both measurement and modelling techniques. Current in-process measurement methods are restricted to surface-only monitoring devices (e.g., cameras and pyrometers), which fail to capture
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-informed models simulating system behaviour and providing decision-relevant insights Translating methods into decision-support prototypes and case studies in collaboration with academic and industrial