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your specific interest in the position and outline skills and experience that directly relate to this position. Summary The Machine Learning in Neurosurgery (MLiNS) Laboratory in the Department
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performance analysis of analytical to experimental data Desired Qualifications* Machine learning expertise to analyze radiology images and histology, to detect ossification, analyze soft and hard tissue micro
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support staff. Required Qualifications* PhD degree or equivalent in epidemiology or a related field Experience with analysis of health data linked to contextual and environmental information Analysis
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* ? Knowledge of control theory, statistical and probabilistic methods, optimization, machine learning, robotics, or related fields. ? Passion for water, the environment, and open source. ? Strong
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. The fellow will also be encouraged to engage in the many opportunities for data science and machine learning/AI opportunities at the University of Michigan. As one of the world's great liberal arts colleges
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spending accounts for healthcare and dependent care expenses. Learn more about U-M benefits. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology, sociology, or other relevant
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engineering, or medical physics. Training or work experience in medical imaging, digital image processing, computer vision, pattern recognition, artificial intelligence, machine learning, deep neural networks
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science, statistics, computer science, AI or a related field. Experience using computational data science or AI approaches. This may include machine learning, artificial neural nets, knowledge modeling