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for representing and combining multimodal information over time. Grounded in machine learning, representation learning, and efficient algorithms, the work addresses real-world challenges in sustainable and
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Aim: To predict the rate of hair loss or recovery in people with alopecia using computer vision and Artificial Intelligence (AI) algorithms. Objectives: Automate the hair segmentation process and
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molecular mechanisms where genetic mutation, exposure to high insulin and low glucose combine to cause neurodegeneration in the brain. You will employ multiomic deep phenotyping to identify molecular
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