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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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opportunity to learn more about the human subjects research process from start to finish, gain experience in 1:1 participant contact (both through interviews and intervention) and expand your knowledge
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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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techniques such as machine learning or network science. A background in pain research is not a pre-requisite as there will be many resources and mentors available to provide this training. This is a 1-2 year
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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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, biochemistry, and genetics. A solid understanding of statistics and experience in the implementation of machine learning and statistical inference algorithms. Experience building web applications, web services
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scientific importance (see www.src.isr.umich.edu). Scholars have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Why Work at Michigan? In