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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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isotope retention properties of boron layers and erosion rates. Boron films in different tokamak regions are subjected to varying degrees of plasma interaction with different ion energies (from few eV
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microgrids integrating intermittent renewable energy sources (solar, wind), storage systems (batteries, hydrogen), power electronic converters, and controllable loads. These complex cyber-physical
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static mode and under photonic excitation in order to establish the reference electronic state of the surfaces and to monitor its evolution. THz spectroscopy will then provide access to the conductivity
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experimental backgrounds. Regular scientific meetings will help coordinate the different approaches within the project, compare experimental results with physical models, and promote interactions among team
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physicochemical properties of the material under study. Xe will be introduced by ion implantation, and the samples will be subjected to irradiation treatments on accelerators, favoring either electronic effects
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interactions that control natural changes in Amazon climate and vegetation under different climatic forcings of the past two glacial cycles. This project provides a dynamic working environment between about
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width: discrete frequency comb ver-sus continuous spectrum, and the presence or absence of spectral dispersion. Added to this are kinetic effects (electron trapping, plasma wave broadening) and geometric
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DD sequences into HR-type schemes, and verifying coherence via fringe contrast and Allan deviation. This other objective is to assess robustness against realistic technical noise. To serve that purpose
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used to generate a training dataset for the cavity circulation emulator. The candidate will test different machine learning architectures and design appropriate, physically relevant metrics to assess