11 mechanical-engineering-solid-mechanics-advanced-materials-fracture-mechanics-stress-and-strain-analysis PhD positions at ICN2
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different areas of nanoscience and nanotechnology. Job Title: PhD Student Research area or group: Advanced Electronic Materials and Devices Description of Group/Project: The Advanced Electronic Materials and
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Doctoral Training Programme in Functional Advanced Materials (DOC-FAM) DocFam+ (DOCtoral training programme in Functional Advanced Materials: Towards a Better Future) is a new doctoral programme for
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Doctoral Training Programme in Functional Advanced Materials (DOC-FAM) DocFam+ (DOCtoral training programme in Functional Advanced Materials: Towards a Better Future) is a new doctoral programme for
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Doctoral Training Programme in Functional Advanced Materials (DOC-FAM) DocFam+ (DOCtoral training programme in Functional Advanced Materials: Towards a Better Future) is a new doctoral programme for
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Doctoral Training Programme in Functional Advanced Materials (DOC-FAM) DocFam+ (DOCtoral training programme in Functional Advanced Materials: Towards a Better Future) is a new doctoral programme for
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that, they offer exciting possibilities to explore new physics in these multifunctional materials. This project aims to explore the tuning of oxide functionalities at the nanoscale via mechanical manipulation
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Doctoral Training Programme in Functional Advanced Materials (DOC-FAM) DocFam+ (DOCtoral training programme in Functional Advanced Materials: Towards a Better Future) is a new doctoral programme for
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possibilities to explore new physics in these multifunctional materials. This project aims to explore the tuning of oxide functionalities at the nanoscale via mechanical manipulation of the membranes, exploiting
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Analysis of materials for H2 production Characterisation of the individual materials used in the device, as well as the complete solar cell devices by means of electrical and optical techniques. Process and
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to the implementation of developed tools on the in-house LSQUANT code (www.lsquant.org) and computing architecture of TCN/ICN2 Requirements: Education: PhD in physics or electrical/ mechanical engineering Knowledge