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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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and oral communication skills in French or English are necessary for report writing and team collaboration. While no prior postdoctoral experience is required, a PhD in chemistry or physics is mandatory
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porous media (imbibition, wetting, flow, etc.). The approach will be essentially experimental, combining model debinding tests on various specimens with characterizations. • Determine the main mechanisms
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• Implement and lead fMRI and EEG neurofeedback protocols during the test and research phases of the project. • Ensure recruitment, monitoring, and testing of participants (healthy volunteers and ADHD patients
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extended complexes) The application to various models of MHD and flows in porous media The numerical analysis of the schemes The development of the computational kernel of the NEMESIS software library
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1997, Schemske 2009), that ultimately also increase speciation rate. Although this 'biotic interaction' hypothesis is well known in evolutionary biology, it has not been properly tested at a global scale
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of squares hierarchies to prove positivity of holonomic functions - Scientific article writing - Attending conferences - Software programming LAAS CNRS Where to apply Website https://emploi.cnrs.fr/Candidat
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on software-related developments, including: - Development and automation of test and monitoring software - Data acquisition and analysis including interfacing with databases - Monitoring of the quality
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cross-validation and simulation-based checks; document performance and limitations. * Software engineering: contribute maintainable code to laMEG; add unit/integration tests and continuous integration
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software that integrates with the Gammapy framework, enabling the integration of public data from current Cherenkov telescopes and the future CTAO. The successful candidate will ensure that the software can