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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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obtained by MOCVD deposition. A PhD student at LMGP is currently developing and optimizing the operating conditions to control nanowire geometry, network density and connectivity, and coverage. The recruited
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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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demonstrating a proof of concept for low-power logic gates based on spin waves. The work involves experimental research. The post-doc will be responsible for: - the growth and optimization of magnetic thin films
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and optimize TD-RAS (time-dependent restricted-active-space) methods for many-body systems including positrons. - Carry out large-scale numerical simulations of photoionization and de-excitation
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), whose objective is to extend the HLA-Epicheck model, originally developed within the framework of a PhD thesis, and to implement new deep learning approaches to assess donor–recipient compatibility in
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layer to accommodate lattice mismatch while enabling the active use of Si as a bottom cell. The applicant will be involved in the deposition and optimization of the GaAs, its doping, passivation/contact
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catalysts. Optimization of the catalytic reaction will be carried out by tuning different reaction parameters such as pressure, temperature, concentration, catalyst dosage, etc. Throughout these research
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to optimize their durability and efficiency under industrial conditions. The goal is to contribute to a sustainable energy storage solution while avoiding the use of expensive metals. The postdoctoral
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300mm etching reactors located in CEA/Leti's clean rooms. It will involve : 1) Create the lithographic design adapted to requirements (GDS) 2) develop/optimize plasma etching processes for AlGaN and GaN