9 engineering-engineering "Computer Vision Center" positions at OSU

  • OSU | about 1 month ago

    necessary) the information in your candidate profile as it will transfer to your application.  Job Title: Lecturer Department: Engineering | Electrical and Computer Engineering Lecturer      Department

  • OSU | United States | about 2 months ago

    necessary) the information in your candidate profile as it will transfer to your application.  Job Title: Lecturer Department: Engineering | Electrical and Computer Engineering Lecturer      Department

  • OSU | about 2 months ago

    Engineer Department: University Hospital | BioMedical Clinical Engineering SCOPE OF POSITION The Clinical Engineering Department is responsible for assuring that the patient care instrumentation used

  • OSU | United States | about 2 months ago

    with expertise in engineering education, computing education, computer science education and related fields. Successful candidates will demonstrate interest and ability to lead the development and

  • OSU | about 1 month ago

    artificial intelligence and dental health, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision

  • OSU | about 1 month ago

    , Electrical and Computer Engineering, Computer Science, Bioinformatics, or a related discipline, with scientific collaboration and research interests in the following areas: · Translational research in MRI

  • OSU | about 1 month ago

    systems while maintaining HIPAA and medical center appropriate access policies. Maintains inventory of supplies and stocks areas with appropriate supplies. Ensures that equipment is clean and ready for

  • OSU | about 2 months ago

    . Rita’s for its anatomy/cadaver lab (1,400 square feet) and Ohio State Lima at the Engineering Education and Manufacturing Center at the Ford Engine Plant which houses five labs, 12 classrooms and breakout

  • OSU | about 1 month ago

    systems, elucidate mechanisms of action, validate therapeutic targets, and advance drug discovery. Biosynthetic engineering: AI-enabled design, optimization, and engineering of biosynthetic pathways

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