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Field
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, contributing to the first precision measurements of the atomic structure of Cf HCIs. The project will give you hands-on experience across a broad range of experimental physics, including cryogenics, ultra-high
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for miniaturization. However, the physical properties, magnetic configuration, chemical composition and roughness at the interfaces of such FE/FM/SC heterostructures are still largely unknown and
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technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining
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Atomically thin layers of various materials can be combined - almost at will - into novel artificial materials, with graphene structures being the most prominent examples. If two (or more) layers
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 2 days ago
-fast phenomena, X-ray physics and dynamical imaging in all areas of science, covering physics, chemistry and biology. 23 interdisciplinary PhD positions in Ultrafast Science and Quantum Materials – IMPRS
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strategies. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with
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realistic oxide nanoparticles with sizes from a few 10s of atoms to several 1000s of atoms. In each case, machine learned interatomic potentials (MLIPs) will be developed to describe their structure and
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sensor will then be integrated into van der Waals heterostructures in order to probe, in situ, the physics occurring at the interfaces between atomically thin 2D materials assembled in vertical stacks
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PhD Stipend Scholarship – Faculty of Medicine, Nursing and Health Sciences/Monash AI institute [AI-enabled personalised coaching for physical activity and other health behaviour change across
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. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models and