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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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their research in cross-disciplinary research areas and/or application areas such as the ones listed below: CROSS-DISCIPLINARY RESEARCH Nanomaterials &Nanofabrication Nanocharacterisation Modelling and simulation
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vesicle systems to be used as components of therapeutics in oncology and neurology. Neurotechnology based on flexible, thin-film technologies for therapeutic applications in oncology and neurology
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on quantum devices based on metals, graphene, topological insulators, and other two-dimensional and quantum materials. A major research direction is spintronics, which exploits the electron spin degree
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as components of therapeutics in oncology and neurology. Neurotechnology based on flexible, thin-film technologies for therapeutic applications in oncology and neurology. The Nanomedicine Lab has been
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required. Main Tasks and responsibilities: Development and optimization of electrochemical biosensors and nanomaterial-based sensing platforms. Functionalization of sensor surfaces with bioreceptors
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and responsibilities: The researcher will be in charge of supporting the development and optimization of nanomaterial-based biosensing platforms for biomedical applications. The researcher will
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the development of technological applications based on these materials such as electronics, bioelectronics and biosensing, neural interfaces, etc. The activities cut across different scientific aspects, from
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parameters affect material properties and functional performance, and interacting with machine-learning and modelling teams to translate experimental results into predictive datasets. Preparing reproducible