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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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Eligibility criteria PhD in Materials Science, Process Engineering, or a similar field. Required Skills: Proficiency in ceramic and composite material development processes, as well as structural, mechanical
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of ethical and regulatory files. • Contribution to the collaborative development of neurofeedback software (user interface, usability feedback). • Participation in team meetings and regular exchanges with
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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
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team (photonics, neuromorphic computing, software development, microfabrication) to develop and implement original solutions. ● Contribute to the development of the startup's intellectual property and
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boson and of the polarisation of vector bosons. It contributes to the development of data reconstruction software for the new tracker (ITk) that the ATLAS collaboration will install for the high
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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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, CNRS, University of Oslo). -Contribute to the development of open-source software and to the dissemination of results in high-impact international journals and conferences. The postdoctoral researcher
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, neuromorphic computing, software development, microfabrication) to develop and implement original solutions. ● Contribute to the development of the startup's intellectual property and commercialization
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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