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operational reliability of all electron microscopy equipment. Contributing to the development of new imaging protocols and methodologies, while identifying opportunities to expand the applications of electron
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synthesis (images, text, audio, video), and complex reasoning. Investigate model compression, quantization, and distillation for efficient deployment. High-Performance AI Infrastructure (Infra): Design and
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-enhanced automation of transmission electron microscopy imaging and spectra acquisition, developing AI protocols based on ML, DL and computer vision within the project EDISON. Main Tasks and responsibilities
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technical needs for user experiments, an electrochemical microscope will be implemented, to reach high imaging resolution and a great flexibility concerning various electrochemical environments. Main Tasks
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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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/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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models that are more efficient, inherently multimodal, and capable of processing information at an unprecedented scale. Key research questions include (but not limited to): Non-Autoregressive and Diffusion
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-enhanced automation of transmission electron microscopy imaging and spectra acquisition, developing AI protocols based on ML, DL and computer vision within the project EDISON. Main Tasks and responsibilities
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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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framed within the TYPLEX PDC2023-145891-I00 Project titled "Integrated prototype of a nanophotonic microchip biosensor for ultrasensitive multiplexed analysis of Sexually Transmitted Infections" funded by