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Computational Nanoscience group at ICN2 develops theory, models and large-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with
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device-level properties of amorphous graphene nanoribbons and related structures. This will provide a bridge between atomistic material modelling and experimentally measurable device characteristics
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models). Expert use of a chemical synthesis laboratory, a wide range of physicochemical and material characterisation is required. Moreover, in vitro and in vivo expertise, will be essential to determine
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the generation of green hydrogen via solar-driven photoelectrochemical (PEC) systems. In this position, you will apply advanced electron microscopy techniques, including STEM to investigate the structure and
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of green hydrogen via solar-driven photoelectrochemical (PEC) systems. In this postdoctoral position, you will apply advanced electron microscopy techniques, including STEM and FIB, to investigate
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of hybrid memory concepts such as light-controlled multiferroics and voltage-driven magnetic memristors. A central objective is to enhance energy efficiency during write and read operations, while moving