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of carbon materials, low-dimensional materials and others Multi-scale computation method development Data-driven experiments AI for materials science Multi-scale modeling for materials manufacturing mechanism
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has experienced a significant expansion in recent years, reflecting a growing interest in life sciences research at the nano and micro scales. The facility plays a key role in enabling interdisciplinary
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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areas of nanoscience and nanotechnology. Job Title: Research Support Technician in Active learning Research area or group: Theoretical and Computational Nanoscience Description of Group/Project: In
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tissue engineering, including endothelial cells, smooth muscle cells, and stem cells. Design/Test novel 3D systems: Design and optimize 3D systems to mimic the physiological environment of blood vessels
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, evolutionary theory, quantitative genetics, data science, toxicology, and law. Within this project, our group at the CRG focuses on the the analysis of bulk and single cell RNA-seq from five different model
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As part of the PICs@ICFO Strategic Initiative, ICFO coordinates PIXEurope, a flagship Pilot Line funded under the European Chips JU program and participates in the Photonic Chips Spain Competence
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biology. About the lab Fátima Gebauer group is in the Genome Biology Programme of the CRG. She leads a team of motivated researchers working on RNA regulation and translational control in human cancer
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. ICN2 offers also in-house specialized seminars, such as our Open Knowledge Program, and training in various transferable skills, such as technology transfer and intellectual property, among others
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, and energy solutions. By integrating electrochemistry with advanced materials and engineering, the unit delivers pioneering solutions with real-world impact. Led by Prof. María Cuartero (ERC Fellow) and