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Field
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element of embedded intelligence lies in the sensor's ability to self-calibrate and, in particular, to adapt its responses and models according to sensor aging and the (sometimes significant) variability
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of environmental seismology, an emerging field focused on interpreting seismic signals generated by surface processes. This interdisciplinary PhD project aims to integrate hydraulic measurements, physical models and
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based on promising results obtained on model compounds for cobalt and lithium [2-3]. The recovered metals will be reused for the synthesis of new cathode materials, whose performance will be evaluated
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candidate will be responsible for analyzing and modeling rich and complex datasets from large-scale electrophysiological recordings (Neuropixels probes) in multiple regions of the frontal cortex and striatum
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of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
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: a) Inventory and mapping of CES through geographic analysis. b) Participatory mapping and surveys. c) Temporal modeling to anticipate future developments. d) Development of an evaluation matrix
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role in models of pulmonary disease. The research is embedded in a Franco–Brazilian collaboration at the interface of immunology and structural biology, providing exposure to complementary expertise and
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researchers addressing complementary topics and methodology such as Thermodynamic modelling of multi-component planetary degassing/ingassing, Molecular Dynamic simulations of silicate melts, Petrology
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Systems”: Research focuses on model reduction in linear and nonlinear dynamics, developed within a framework of mechanics, applied mathematics, and physical sciences for engineers. • “Bioengineering
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project based on a living model. Consequently, working hours will be adapted to the biological requirements and developmental stages of the model organism. The scientific environment at the Institute