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- Institut de Físiques d'Altes Energies (IFAE)
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Field
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fabrication by sputtering (e.g., magnetron sputtering; thin-film deposition workflows). • Materials characterization methods (morphology, structure, composition), e.g., SEM/EDS, XRD, profilometry, IBA, etc
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characterization of high-quality 2D ferroelectric materials (e.g. 3R-TMDs, layered ferroelectrics) using exfoliation, stacking, and ultra-clean heterostructure assembly techniques. Advanced optical and
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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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exploring the evolutionary trajectories of energetic frustration from ancestral to extant proteins, combining ancestral sequence reconstruction, structure prediction, and statistical energy models
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a motivated and experienced candidate to work on computational modelling of low dimensional electroactive materials for energy applications. The project will focus on systems based on arrays of stable
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Description We are looking for an individual who is motivated by the project and does not settle for simply completing tasks, but rather shows initiative and a desire to make a personal contribution. The ideal
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will apply advanced electron microscopy techniques, including STEM to investigate the structure and behaviour of catalytic nanomaterials critical for green hydrogen and energy technologies. The candidate
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to the construction, assembly, installation and commissioning in experiments at CERN, KEK, several telescopes at El Roque de los Muchachos, Chile and USA observatories, and the Euclid Space Mission. It has specialized
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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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hardware constraints, improve system control, and unlock new modes of problem-solving that surpass classical approaches. The ML-QSIM project is built upon a robust multi-node and multi-regional structure