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areas of nanoscience and nanotechnology. Job title: Postodoctoral Researcher Position in (Scanning) Transmission Electron Microscopy of Catalytic Materials for Green Hydrogen and Energy Applications
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applies state-of-the-art computational tools to understand and predict the properties of materials at the nanoscale. The position is part of the MAIAMI project - Multimodal Artificial Intelligence Platform
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: Conducting synthesis experiments of PtAg nanoparticles through galvanic replacement and related wet-chemistry routes. Performing image analysis of transmission electron microscopy (TEM) data to quantify
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. Creation of new functionalities: Design and implement new modules in both backend and frontend under the supervision of the senior team. Code quality (QA): Perform unit and integration testing to ensure
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Calculations will be valued but it is not essential. · Previous knowledge of Density Functional Theory (DFT) and experience with DFT codes will be very highly valued. · Knowledge of chemical reactions and how
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Professional Experience: PhD and at least 3 years postdoc experience in relevant areas of expertise. Personal Competences: Diligent, enthusiastic, ability in theory and experimental physics. Summary
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Computing. · Experience with High Throughput Calculations will be valued but it is not essential. · Previous knowledge of Density Functional Theory (DFT) and experience with DFT codes will be very highly
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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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widely used by the academic community (about one thousand citations per year), and has been a flagship code of the MaX European Centre of Excellence for exascale computing in Materials Science (www.max
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initiative where appropriate, and be proactive in approach to work Desirable Knowledge, Skills and Experience: · Experience with cryo-electron and confocal microscopy. · Experience with Image analysis software