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4 machine-learning-phd Fellowship positions at University of Michigan

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  • University of Michigan | Ann Arbor, Michigan | United States | 7 days ago

    systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and

  • , spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune microenvironment architecture. Collaborate with wet lab

  • University of Michigan | Ann Arbor, Michigan | United States | about 1 month ago

    research projects in computer vision, machine learning, AI, and robotics.  Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated

  • , etc.). Required Qualifications* PhD in medical physics, nuclear engineering or other engineering or physics disciplines. Applicants with medical degrees with relevant experience will also be considered

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