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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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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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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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NextGenerationEU/PRTR, entitled "Integrated prototype of a nanophotonic microchip biosensor for ultrasensitive multiplexed analysis of sexually transmitted infections (TYPLEX)". The job will be essentially related
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, microbiology and virology, human genetics, genetics, genomics, molecular medicine, molecular neuroscience and cognitive neuroscience, modern imaging, physiology, plant biology, synthetic biology, and
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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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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