17 computer-science-image-processing Postdoctoral research jobs at University of Minnesota
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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analysis, live cell imaging, and animal behavior: ● Stem cell biology ● Spinal cord injury cell transplantation About the Department To learn more about the Department of Neurosurgery, please visit https
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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of wet lab experience. Degree in the biological sciences - biology, biochemistry, pharmacology, ophthalmology, etc. Experience with animal handling, ocular imaging (fundus, OCT), tissue dissection
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and manipulation of synaptic function, including novel multiphoton imaging, optogenetic, and computational tools. We are looking for a highly motivated individual with a strong background in cellular
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other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
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research experience in the following areas: 1) Stem cell biology 2) Spinal cord injury cell transplantation ● Experience with cell culture, microscopy and analysis, live cell imaging, and animal behavior
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. The postdoc will process and analyze data, prepare manuscripts, and assist with MRI data collection. The CNS Lab has collected MRI data from samples of typically developing infants, infants who develop autism
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(PMB) comprises a diverse and integrative group of scientists who study the genetics, ecology, evolution, and molecular biology of plants, fungi, and microbes. Our undergraduate and graduate programs
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences