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of publications in high-impact Q1 journals applying computational methods to materials science. Advanced proficiency in Python, ML libraries (PyTorch/Scikit-learn), MLOps, Docker, and computational materials
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of nanoscience and nanotechnology. Job Title: Jr. Materials Informatics Engineer Research area or group: Plataform AI@ICN2 Description of Plataform AI@ICN2/Project: AI@ICN2 is an institutional platform designed
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areas of nanoscience and nanotechnology. Job title: Senior Postdoctoral Researcher Research area or group: Nanomaterials for advanced memory and computing Description of Group/Project: The research
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
different areas of nanoscience and nanotechnology. Job Title: Research Engineer - Tools developer for LSQUANT platform Research area or group: Theoretical and Computational Nanoscience Group Description
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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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PhD position funded by AEI agency (Spanish Government) TOPIC: Magneto-ionics for information technologies: secure and energy-efficient memories and advanced computing A PhD position is available
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functionalization of materials, especially Pb-free Metal Halide perovskites (MHPs), including all inorganic and 2D materials, and oxides. · Fabrication of functionalized Pb-free MHPs by solution processing methods
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and 2D materials, and oxides. Fabrication of functionalized Pb-free MHPs by solution processing methods. Fabrication of complete Pb-free MHPs solar cells and memristors (TFTs). Stability analysis
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characterization techniques. · Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy
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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