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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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, computer science, biomedical engineering 11 Shaanxi Key Laboratory of Big Data Knowledge Engineering Artificial intelligence, medical image analysis 12 Digital Oral Information Modeling & Applications Team Digital
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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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widely used by the academic community (about one thousand citations per year), and has been a flagship code of the MaX European Centre of Excellence for exascale computing in Materials Science since its
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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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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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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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. 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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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