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workspace (including a computer) in one of the offices dedicated to PhD students, access to equipment available for loan within the laboratory (such as a digital recorder), and full access to the University
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evolution and rarely align with climate model outputs. These models also exhibit biases due to the omission of certain physical processes, and their spatial resolution is often too coarse to be functional
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driving conditions, stop-and-go operation, and progressive battery degradation. The objective of the PhD project is to develop estimation, fault detection/isolation, and fault-tolerant control methods
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processes related to physical oceanography, sea ice, and biogeochemistry. Its research focuses on the interactions among these components, their coupling with the other components of the Earth system, and
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of active matter and out-of-equilibrium stochastic processes: stochastic thermodynamics, entropy production, collective dynamics. • Machine-learning approaches for the physics of living systems. • Application
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the Amazon could trigger a self-sustaining dieback process of the rainforest, whose extent and biodiversity depend on precipitation. Climate models project a decrease in Amazonian precipitation by the end
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controlling the long-term fate of naturally occurring radionuclides within this matrix remain poorly understood. In particular, the processes responsible for the progressive decrease in their mobility over time
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of efficient redox catalysts which can retain activity under continuous operation is a key challenge for the development of stable water splitting schemes. However, most reactions involved in these systems
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intrinsically disordered regions (IDRs) play essential roles in many biological processes. Unlike conventional proteins, they do not adopt a single stable structure but instead populate a wide range of
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skills: o Knowledge of plasma physics, laser physics, laser-matter interaction o Proficiency in scientific programming languages (Python required, C/C++ appreciated) o Skills in data processing, physical