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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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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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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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. Delegating lab tasks to ensure deadlines are met. Reporting to PI regularly on key metrics (including budgets) for priority projects. The successful candidate must have: a PhD degree in biology, biomedical
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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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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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established, will be performed. The Research Specialist will also be using routinely bioluminescence/fluorescence in vivo imaging using the IVIS Imaging system and occasionally Magnetic Resonance Imaging
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recognition, automation science, complex systems, robotics, machine learning, computer vision, natural language processing, biometrics, medical imaging, social computing, and AI hardware. CASIA is the first