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ability to learn and successfully work within multidisciplinary teams and experience to motivate research teams. Mind oriented to challenges and focus on results. Capacity and skills to develop and
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amplify therapeutic effects across cancer and neurodegenerative diseases, offering a new paradigm in precision medicine. This approach is based on the deisgn of novel wirelessly controlled micro/nano
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to locally amplify therapeutic effects across cancer and neurodegenerative diseases, offering a new paradigm in precision medicine. This approach is based on the deisgn of novel wirelessly controlled micro
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
Personal Competences: Demonstrated competitive ability in using DFT simulations, and machine learning techniques and DFT. Demonstrated strong coding skills and a passion for UX/UI design. Summary
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14 Medical Image Computing Team AI, computer science, automation, dentistry, ultrasound medicine, radiology, biomedical engineering, image processing 15 3D Printing of Multifunctional Orthopedic
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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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Biophysics, Biophotonics & Super-Resolution Imaging All PhD students admitted to ICFO are provided with a fellowship, with conditions as described in detail below. Important: Students applying to join the
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/cells and iPSCs) Proficient in data collection (confocal imaging) analysis and interpretation, with experience using statistical tools and peripheral knowledge of computational modeling techniques
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with, and advising prospective part-time MBA candidates across Europe, guiding them through the entire application and enrollment process. You will use tools such as LinkedIn and Generative AI
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dedicated to digital transformation in healthcare, sports, food, and environmental monitoring through advanced (bio)chemical sensing, combining electrochemistry and imaging technologies. Led by Prof. María