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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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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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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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. 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
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integration to enhance research capabilities and administrative efficiency. Technology Integration & Innovation: Lead the adoption of emerging technologies, ensuring seamless integration with existing systems
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in chemistry, physics, materials science, or a related discipline. Knowledge and Professional Experience: Must have a minimum of eight years of professional experience working in an electron microscopy
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ICN2 PhD Programme Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field
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Background: An advanced degree (Ph.D. preferred) in Artificial Intelligence, Computer Science, Engineering, or a related field. Leadership Experience: At least 2 years of leadership experience in academic
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Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related technical field. A strong publication record, with first-author papers