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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. With €400 million in investments and a consortium of 20
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technology, nanofabrication) and applications, with a strong emphasis on bioelectronics for neural interfacing. Main Tasks and responsibilities: The research activity of the candidate will be part of
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: · Education: PhD in Materials Science or similar. Knowledge in tech transfer will be highly valuable. · Knowledge: Advanced materials development Polymeric materials development, functionalization
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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, or a related field is required, along with image analysis skills (biological or medical image analysis preferred), including denoising, segmentation, and detection of specific patterns. The ideal
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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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, 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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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