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Field
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combines methods from ecology, industrial design, and engineering to optimize and upscale and biodegradable structures that temporarily mimic key emergent traits using industrial-scale additive manufacturing
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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery
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design models that enable the repositioning of AM equipment based on Defence requirements in conflict zones and other industrial contexts; investigate optimal levels within the product structure
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-structure interactions using a combination of high-resolution numerical simulations (CFD) and advanced experimental measurements (Stereoscopic PIV). A dedicated test bench will enable full-scale global
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immobilisation, subject to final approval by the project sponsor. Your tasks Synthesis of metal-organic frameworks of the actinides (An-MOFs) Characterization of the An-MOFs' structure, porosity, as
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involve investigating different optimization tools, antenna configurations, and waveform parameters to maximize the radar system's performance regarding accuracy, resolution, and range. Structure and
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. The PhD student will aim at pursuing the recent work by optimizing the growth of GaN semiconductor films in terms of structural, electrical and optical properties along with exploring AlN and Ga2O3
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influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
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interpretable local explanations for opaque machine learning models. Our approach is structured around two complementary axes: simplified abductive explanations ("Lite Explanations") that offer a compromise
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, microwave power, and frequency) on the degree and structure of carbonization and graphitization of the electrodes, aiming to reduce battery costs through process optimization. Additionally, the effects