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to generate and publish high-impact machine learning research. Collection, curation, and maintenance of neural datasets Building lab equipment and software infrastructure for neural engineering experiments
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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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Strong understanding of statistical principles Experience with AI and machine learning algorithms Data Visualization Strong experience using online bioinformatics tools: GSEA, DAVID, iDEP, BioJupies
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projects at the same time Proficiency in computer software (spreadsheets, word processing, PowerPoint, etc.) Desired Qualifications* Master's degree or PhD related to life sciences or physical sciences
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intelligence and machine learning (AI/ML). The ideal candidate will have interest and experience that combines the development, validation, implementation, and evaluation of AI/ML applications designed
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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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knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future. The University of Michigan is committed to foster learning, creativity, and
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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