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to design a neural cell implantation therapy for spinal cord injury treatment. We will achieve this goal through enhanced biological understanding of the regeneration process of nerve tissue together
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: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering, or equivalent. Independent, highly analytical, proactive, and a team player; strong verbal and written communication skills
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Knowledge of electrodialysis, electrochemical systems, or ion transport processes Familiarity with surface functionalization techniques or polymer chemistry Experience in experimental design and materials
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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to identify perturbed pathways, molecular signatures and clinically relevant biomarkers Contribute to translational research activities, including processing and analysis of clinical specimens from patient
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research reports) and academic publication processes will be preferred. Knowledge Good knowledge of cognitive functions and cognitive neuroscience theories and techniques. Good or working knowledge
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on multiscale subsurface imaging using advanced geophysical imaging techniques and on investigating how subsurface structure, material composition, and geodynamic processes influence regional seismicity. Key
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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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– materials and processes for syngas upgrading (e.g., tar, chlorine, sulfur removal); (c) Development of new materials from waste, e.g. slag in construction, nanomaterials for batteries and plastic additives
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research reports) and academic publication processes will be preferred. Knowledge Good knowledge of cognitive functions and cognitive neuroscience theories and techniques. Good or working knowledge