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existing experimental results and guide the design of future carbon-based electronic and optoelectronic devices. Requirements: Education: Master in materials science or engineering, PhD in materials science
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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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: Education: PhD on Materials Science, Chemistry, Biotechnology, or related disciplines Knowledge: High level in English Professional Experience: Demonstrable previous experience in materials science
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programme. Requirements: Education: PhD in chemistry, chemical engineering, materials science, biochemistry or equivalent. Knowledge: Extensive expert use of an array of physicochemical and materials
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, enabling the observation of materials under conditions that mimic actual operating environments. Working closely with partners in the IMPRESS project, you will analyze their materials and provide valuable
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carried out by the group focuses on the discovery and control of new memory effects in nanoscale materials, including ferromagnetic, spintronic, and ferroelectric systems, as well as on the implementation
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environments, enabling the observation of materials under conditions that mimic actual operating environments. Working closely with partners in the NEXPECHâ‚‚ project, you will analyze their materials and provide
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platforms. Interdisciplinary Environment: Work alongside experts in nanofabrication, material growth, two dimensional materials, spin-orbit torques, and quantum devices in a vibrant and supportive research