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using optical techniques, cryogenic spectroscopy, and atomic force microscopy (AFM). • Drive the fabrication and optimization of novel 2D heterostructure devices in our state-of-the-art cryogenic optics
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of new isotopes into protein NMR; and the optimal implementation of intermolecular polarization transfer schemes. S/he will also produce samples following well-established protocols, mainly based on cell
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-generation materials. To enable their industrial use, technologies enabling large-scale, low-cost production of NPs with optimized characteristics are essential. For this, FSP (flame spray pyrolysis) systems
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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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• 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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of Research ExperienceNone Additional Information Eligibility criteria - PhD in Medical Imaging, Biomedical Engineering, Signal Processing, or a related field. - Strong expertise in MRI physics, preferably in
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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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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