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Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image
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microscopy techniques to investigate the disease genetics and developmental biology of the trachea (windpipe) and esophagus (food pipe). For more information visit https://edwards-lab.org. Our group values
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee The role is for a research fellow to conduct
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completed or submitted a PhD in neuroscience. You will have previous experience in carrying out either in-vivo electrophysiology or two-photon imaging, optogenetics and behaviour in mice. You will be
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; André Venturoti Perrotta; Paula Alexandra Gomes da Silva. IV - Work Plan / Goals to be achieved: The scholarship will support the building of a functional prototype where an intelligent AI agent is
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mechanical design, prototype fabrication, and testing methodologies Knowledge of human factors and ergonomics principles is an advantage Experience working in interdisciplinary teams; exposure to healthcare
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research where you will support all aspects of the project to investigate neuroplasticity and recovery of movement quality after stroke using multimodal functional brain imaging and 3D human kinematics
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on application expertise and interest; Generation and analysis of mass spectrometry based exposomics data; Analysis of multiomics data; Analysis of MRI-derived imaging data; Provides guidance and support to PhD
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Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site
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(https://www.mechano-medicine-lab.com/ ) decodes and engineers the fundamental feedback mechanisms driving vascular tissue function in health and disease, with the goal of translating these discoveries