7 computer-science-image-processing Fellowship positions at University of Michigan

  • University of Michigan | Ann Arbor, Michigan | United States | 19 days ago

    programming is a plus. Required Qualifications* Ph.D. degree in biomedical engineering, medical physics, electrical engineering, computer science, neuroscience, or equivalent disciplines. Good written and

  • University of Michigan | Flint, Michigan | United States | 2 days ago

    Transportation Program, aimed at addressing power quality challenges in electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping

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

    into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research

  • University of Michigan | Ann Arbor, Michigan | United States | 2 days ago

    plasticity. We study questions at a variety of levels, Ranging from synaptic and cellular studies using patch-clamp electrophysiology, large-scale population recordings using 2-photon Ca2+ imaging in awake

  • University of Michigan | Ann Arbor, Michigan | United States | 23 days ago

    years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries

  • University of Michigan | Ann Arbor, Michigan | United States | about 2 months ago

    opportunities to work with other investigators from Michigan and Harvard. Required Qualifications* Ph.D. in Statistics, Mathematics, Biostatistics, and Computer Science. Strong computing skills using R, Python

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

    methods such as genetics, molecular biology, RNA-sequencing, FACS, biochemistry, confocal imaging as well as behavioral and -omic data analyses. These require accurately and effectively applying

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