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into complementary domains required by this project (computational microscopy, computer vision or parallel ML). Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular
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. Such effects include dose degradation in components, displace damage in solar cells, different types of single event effects in electronics, imaging instrument interference, internal charging and biological
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microscopy, computer vision or parallel ML). Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular emphasis on electron microscopy (EM) data. Communication
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unprecedented precision. - Procedures on rodents, such as: stereotactic brain surgery, cochlear injections, tissue sampling, tagging, etc. - Immunohistochemistry - Confocal imaging - Image analysis and 3D
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of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would be able to systematically integrate biomedical/biological knowledge to improve
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in these disciplines particularly with a focus on zebrafish imaging and multi-omics analysis is desired and will be highly valued. The candidate should have good communication and interpersonal skills
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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data storage, enabling the encoding of text, images, videos, and more into nucleotide sequences. While DNA data storage technologies are advancing rapidly, computation on large DNA-encoded databases
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
Please note that Garda vetting and/or an international police clearance check may form part of the selection process. Project: Statistical modelling & Medical imaging data analysis For an information