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challenges and contribute to publications in high-impact scientific journals. Requirements: Education: PhD in Physics, Materials Science, Nanotechnology, Electrical Engineering, or a closely related field at
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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areas of nanoscience and nanotechnology. Job Title: PhD STUDENT (INTRANASAL TREATMENT AND IMAGING OF NEUROLOGICAL DISORDERS USING NANOPARTICLES) Research area or group: Nanostructured Functional Materials
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engineering of 2D-based materials and on application strategies to ensure homogeneous interaction with target (mock or living) tissue. The PhD candidate will receive comprehensive, hands-on training in all
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areas of nanoscience and nanotechnology. Job Title: Junior Software Developer (Training Contract) Research area or group: IT Department Description of Group/Project: The IT Department at ICN2 is dedicated
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to the scientific, technical and transferable skills training and relevant monitoring activities organised each year. Candidates can review the admission process on the website: https://icn2.cat/en/careers/phd
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areas of nanoscience and nanotechnology. Job Title: PhD student - Automating acquisition in STEM PECATHS Project Research area or group: Advanced Electron Nanoscopy (GAeN) Group Description of Group
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are internationally recognised world leaders in the development of point-of-care nanobiosensors. We are looking to employ two PhD students funded on an European Defence Fund (EDF) project that will involve
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materials data bases together with novel AI tools. Requirements: Education: · Undergraduate in Physics, Chemistry, Materials Science, or related disciplines. · PhD in Physics, Materials Science, Chemistry
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collaboration of 14 European research institutions and is funded (https://cordis.europa.eu/project/id/101136269) by the European High Performance Computing Joint Undertaking as part of the Horizon Europe program