16 machine-learning-phd positions at University of Michigan

RESEARCH FELLOW

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

RESEARCH FELLOW

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

Postdoctoral Research Fellow

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

ASST RES SCIENTIST

Strong understanding of statistical principles Experience with AI and machine learning algorithms Data Visualization Strong experience using online bioinformatics tools: GSEA, DAVID, iDEP, BioJupies

Research Technician Associate

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

RESEARCH FELLOW

* ?         Knowledge of control theory, statistical and probabilistic methods, optimization, machine learning, robotics, or related fields. ?         Passion for water, the environment, and open source. ?         Strong

Tenure Track Professor in the Department of Learning Health Sciences

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

RESEARCH FELLOW - Allgeier lab

. 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

Postdoctoral Research Fellow

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

RESEARCH FELLOW

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