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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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to the philosophy of "Creating to Know, Creating to Use", the Institute systematically deploys its disciplinary efforts around the new research paradigm of “quantitative synthetic biology”. On one hand, it focuses
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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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/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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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
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
power of the methology on neurmorphic computing applications. Main Tasks and responsibilities: Develop APIs for various codebases within the group. Mantain Docker images to ensure they are up-to-date with
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systems for information and communication technologies, in particular displays, image sensors and secure communications. The main drive of the group is to carry out applied research which bridges academia