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+ EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: · Education: PhD in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. · Knowledge: Deep
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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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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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internal reports and manuscripts. Requirements: Minimum (required) PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge molecular dynamics
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benchmarking. Contribution to SIESTA training events. Contribution to other activities in the group. Requirements: PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
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and functionalization of nanoparticles and extensive knowledge of physicochemical characterisation techniques. Essential Education and Professional Qualifications: · PhD in chemistry, materials science
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Electronic Materials and Devices (AEMD) group focuses on the material sciences and technology aspects of novel electronic materials, with a strong emphasis on graphene and other 2D materials such as MoS2
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monochromator and 4D-STEM among others, allows the direct visualization of the structure, chemical composition and electronic structure of materials down to the atomic scale. Main Tasks and responsibilities