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modelling in AI Designing APIs and linking systems together Statistical modelling and/or interdisciplinary mathematical modelling High-performance scientific computing About the Department About CAMaCS For
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(100%, E 13 TV-L, 3 years + possible extension, m/f/d) We seek a highly-motivated postdoctoral research fellow with strong expertise in cognitive computational modeling and an interest in applying
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8 Oct 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description DRY-Guadalmed is
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This work falls under the topic of e
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. Demonstrated knowledge or experience in the use of computational tools for modelling, simulation, data analysis, or the development and evaluation of technical/computational applications, which may be acquired
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to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. The work will combine fundamental modelling, numerical simulation and experimental validation, with a strong
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within a Research Infrastructure? No Offer Description The research program aims to develop methodologies, models, and architectures for the implementation of Smart Ecosystems based on the integration
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across individuals. To characterise this variability, you will take advantage of unique in its kind datasets and advanced mathematical and computational methods and help develop personalised models
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 22 hours ago
6 Oct 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2