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) batteries are one of the most promising energy storage technologies. Developing applications, such as the electric vehicle or intelligent power grids, require higher energy densities and retention of
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a semi-industrial facility. In parallel, this PhD research will focus on investigating and optimising the process for removing arsenic from effluent, including through flocculation. Consequently
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undertaking long-term stays in Japan and Japanese physicists. The neutrino group is led by Benjamin Quilain and Michel Gonin and focuses on neutrino oscillation experiments in Japan: T2K, Super-Kamiokande
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between theoretical modelling, numerical development and the analysis of physical phenomena. In particular, they will be involved in designing models suited to the systems under study, their numerical
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systems. Skills in data analysis, scientific programming and interpretation of experimental results. Ability to work in a multidisciplinary research environment combining theory, experiments and quantum
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models. o Python, R or another programming language; previous experience is valuable but not required. o Computational/mathematical models (artificial neural networks, dynamical systems), behavioral
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Eligibility criteria Core Competencies: - Functional ecology, stability theory in ecology, dynamical systems, linear algebra, data analysis. Operational Competencies: - Scientific programming, writing
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test and compare the predictions of this new configuration against existing theories (which model these structures in parallel) using synthetic case studies. These numerical tests will aim to clearly
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interact with other participants in the project. • Responsabilities • Perform research on Platynereis and Ascidian larvae to investigate pressure sensory systems using neurobiology and genetics
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developed by other partners into laboratory cells: Swagelok®, button cells and pouch cells, to optimise the architecture of the systems. - Using several electrochemical techniques to evaluate the parameters