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Process in the Interviews phase Project Title: Data-Driven Optimization of PtAg Hollow Nanocrystals Synthesis - Master's degree internship Group:Inorganic Nanoparticles Group, ICN2 Supervisor: Dr
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beyond conventional binary "bits" toward multi-level and analog memory systems that enable richer information encoding. A major thrust of the group is the development of in-memory and physical computing
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combine scalable and environmentally benign synthetic routes with advanced structural and compositional characterisation to establish clear links between synthesis parameters, nanostructure, and functional
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Materiales de Madrid-CSIC, and École Polytechnique Fédérale de Lausanne. The Nanomedicine Lab also has strong collaborative links and projects with the Center for Nanotechnology in Medicine at the Faculty
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Pisa, Instituto de Ciencia de Materiales de Madrid-CSIC, and École Polytechnique Fédérale de Lausanne. The Nanomedicine Lab has strong collaborative links and projects with the Center for Nanotechnology
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in altermagnets to encode and process information. The project involves close collaboration with experimental and theoretical partners, including large-scale synchrotron facilities. The work will be
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Synchrotron developing correlative (S)TEM in-situ experiments on catalysts, from SACs to multiple types of nanostructures. This position is linked to the AMADE PID2023 project funded by AEI / MCIN, led by Prof
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, fullerenes, carbon nanohorns). The Nanomedicine Lab has strong links with the Institute of Neurosciences, Schoool of Medicine, Universitat Autònoma de Barcelona, and the Center for Nanotechnology in Medicine
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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
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maintenance of the FAIR Knowledge Base, ensuring all experimental and simulation data is searchable and reusable. Professional-grade Python skills with a focus on maintenance. You will be responsible