12 computer-vision-and-machine-learning Postdoctoral positions at University of Oklahoma
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- Norman Campus (Norman, OK) Open Date Apr 05, 2023 Description The candidate is responsible for analyzing and mining multi-omics data using computational techniques, such as deep learning, generalized
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of the following: Ecosystem Modeling, Machine Learning, Microbiome, Microbial Ecology, Soil Science, or Computational Biology. The positions are for several different projects, including the following: (P1
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: Ideal postdoc will be interested in strengthening their skills in informatics, student mentorship, and diversity, equity and inclusion practices. Special Instructions: If you are selected as a final
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The University of Oklahoma is seeking a postdoctoral research scholar to join the 2025-2027 Future of Species Range Shifts cohort as part of the Climate Adaptation Postdoctoral (CAP) Fellows Program, hosted by
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analysis, prototyping, machine learning, or entrepreneurship is a plus. We focus on developing optical neuroimaging technology to study and treat brain diseases. We are devoted to applying novel neuroimaging
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ample funding for computing resources and travel, and there will also be the opportunity to gain experience in mentoring undergraduate and PhD students, outreach, and other departmental activities
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University of Oklahoma's supercomputer, Schooner. There is ample funding for computing resources and travel, and there will also be the opportunity to gain experience in mentoring undergraduate and PhD
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for the appointment is flexible, so please indicate a potential start date in your application. There is ample funding for computing resources and travel, and there will also be the opportunity to gain experience in
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computational modeling. The candidates also will have access to core facilities on the Norman campus and the OU Health Sciences Center (Medical School) in Oklahoma City, Oklahoma. Qualifications Required
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collective pursuit of excellence and our determination to change lives. The unique talents, perspectives, and experiences of our community enrich the learning, and working environment at OU, inspiring us to