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Field
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has profoundly transformed inventory methods over the past decade. Non-invasive, it complements traditional methods (such as kick-sampling for macroinvertebrates) by detecting rare or cryptic taxa
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between multiple robots, contacts with manipulated objects, or other environmental effects. In conventional approaches, these interactions are typically described using highly simplified analytical models
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sensing (DAS) via fiber optics, and active seismic data to detect and characterize seismicity across the entire deformation spectrum (earthquakes, tremors, slow-slip events). These observations will be
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complementary objectives. The first part will focus on characterising embolism propagation in real leaves. An imaging system combining an ultra-high-speed camera with a slower camera will be developed to detect
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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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the maximum temperature. Another approach involves the early detection of quench precursors through highly sensitive voltage measurements across the coil terminals: this is the solution developed in
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fusion with cellular or endosomal membranes, has led to major advances in this field, culminating in the development of mRNA vaccines against COVID-19. The objective of this PhD thesis is to develop a
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investigated. Objectives of the PhD project. The objective of the PhD project is to pursue the experimental investigation of electromagnetic levitation coupled with DC magnetic fields, considering both
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Belfort-Sévenans. The primary objective of this doctoral thesis is to reconsider current models related to economic structures and the connectivity of human communities during the early Middle Ages (6th
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are gradually reaching their limits due to: • The detection of weak or precursor anomalies in highly converted architectures; • The multiplicity of energy sources and components (converters, batteries, hydrogen