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environment, at the interface between fundamental research, materials development and cross-linking processes. The student (M/F) will be affiliated with the Mulhouse branch of the Strasbourg Doctoral School (ED
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transfer across different robotic platforms and morphologies. More generally, the dynamics of a robot can be represented by a generic differential equation describing the evolution of its state (x) as a
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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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serious pathologies. However, the mechanisms shaping brain regions are still poorly understood, due to the technical difficulty of mapping opaque tissue at different development stages with sub-cellular
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topology changes and transitions between different operating modes also constitutes a major challenge. Furthermore, this thesis will focus on the frugality of the proposed approaches, seeking to reduce the
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
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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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-fidelity modeling approaches combining simulations of different fidelity levels, ranging from RANS calculations to high-fidelity LES, possibly associated with various levels of geometric or physical
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interfacial phenomena. The project is part of the ERC Starting Grant EMBIOMO, which focuses on the dynamics of embolism propagation within leaf vascular networks and on the development of biomimetic models
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functional materials. Research activities focus on controlled polymer synthesis, macromolecular engineering, polymer self-assembly, nanoparticle design, and the development of stimuli-responsive polymer