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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 4 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-09948 Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoc position is part of a
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7 Apr 2026 Job Information Organisation/Company ENSICAEN Department Service RH Research Field Physics » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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(2024), pp. 1–55. [3] Fernando Gama et al. “Convolutional neural network architectures for signals supported on graphs”. In : IEEE Transactions on Signal Processing 67.4 (2018). [4] Luana Ruiz, Fernando
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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 31 Jul 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting
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Postdoc Positions Application Deadline 6 Apr 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun 2026 Is the job funded through the EU
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-technical interlocutors You are proficient in written and oral English (level C1) Knowledge of MRI or magnetic resonance spectroscopy signal processing methods as well as heat transfer mechanisms and
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Researcher (R1) Positions Postdoc Positions Application Deadline 1 May 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Jul
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, provide an assessment of the application. Please indicate their relationship to you Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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the first mutations in the NLGN-NRXN-SHANK pathway, which has a key role in synapse formation within the brain. Our results highlight the genetic heterogeneity of autism, but also point at common biological