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Field
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the application of 3D electron diffraction to the measurement of magnetic and structural properties of the classical antiferromagnetic material NiO studied below and above its Néel temperature. The goal is to
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project at EPFL Sion and Empa Dübendorf. Your tasks Palladium membranes have been extensively studied for high-temperature separation of H2; however, their high cost has been a significant bottleneck. You
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on quantum and functional materials. The group combines expertise in 2D materials, perovskite semiconductors, and advanced optoelectronic characterization, with access to state-of-the-art facilities for high
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. The MATICE group investigates the evolution of the physicochemical and structural properties of materials used in the nuclear industry under extreme conditions, particularly high temperatures and irradiation
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. Model transition pathways for the ABEL technologies to integrate into existing or new value chains. Minimize energy and resource use through efficient heat exchange, waste heat recovery, and optimized
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use through efficient heat exchange, waste heat recovery, and optimized process conditions. Assess and reduce environmental impacts, such as greenhouse gas emissions. Validate models with literature and
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heterostructures under ultra-high vacuum conditions. GNRs are emerging quantum materials whose electronic structure, topology, and spin states can be engineered with atomic precision, but many reactive GNRs degrade
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science-based, innovative solutions for, and build future competence in, a new and resilient forest biomass supply system for conversion to high-value material and energy products. In the second phase
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is also generated at high temperatures through reactions such as the Maillard reaction and lipid oxidation. In this project, you will investigate how protein texturization and aroma generation can be
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optimization. The PhD project is part of a larger research project in collaboration with Ghent University and KU Leuven on the implementation of high-temperature heat pumps in industrial chemical batch processes