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bonding rigid structures such as ASICs onto flexible polyimide-based thin-film devices. The candidate will contribute both to the development and optimization of bonding approaches for ASIC-integrated thin
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the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform. MAIAMI aims to establish a paradigm shift in materials science by embedding
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Simulation Group at ICN2 conducts cutting-edge research in computational materials science, focusing on electronic structure methods, atomistic simulations, and multiscale modelling. The group develops and
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the structure and behavior of catalytic nanomaterials critical for green hydrogen and energy technologies. The candidate will design and perform real-time in-situ TEM experiments using gas and liquid sample
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at the 'Group of Smart Nanoengineered Materials, Nanomechanics and Nanomagnetism -Gnm3' (https://jsort-icrea.uab.cat/) of the Universitat Autònoma de Barcelona (UAB). The position is in the framework
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this position, you will apply advanced electron microscopy techniques, including STEM to investigate the structure and behaviour of catalytic nanomaterials critical for green hydrogen and energy technologies
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structural complexity. The group systematically integrates Safe-and-Sustainable-by-Design (SSbD) and green chemistry principles from the earliest stages of materials development, ensuring responsible
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Unit's structural and project-based staff, including Junior Machine Learning Engineers, Data Stewards, and Postdoctoral Researchers. Infrastructure, Data Storage & MLOps: Lead the technical evaluation
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and responsibilities: Testing of the microscope's components to assure full functionality. Installation of the system. Adapting the control electronics and software for optimizing user-friendly
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‑Lab Notebooks with structured templates, enabling FAIR‑by‑design data generation. This includes the creation of institutional AI‑ready catalogues and benchmarks, interoperability with PIDs and metadata