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University of California, San Francisco | San Francisco, California | United States | about 1 hour ago
/compensation-and-benefits/index.html Department Description The UCSF Department of Radiology Imaging IT team architects, implements, and manages the computer systems and networks needed to support more
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- Professional in F2F, virtual, and electronic communication - Proficient in Microsoft Word - Comfortable with computer-based tasks: Working in the user-end of an intermediately complex web-based software
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Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based on autofluorescence (AF) imaging
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integration and AI models tailored for fish behaviour, health, and stress signal analysis. Investigate and apply novel machine learning and deep learning techniques for pattern recognition, classification, and
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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, computational pathology, machine learning, immunohistochemistry and cell culture. A second line of research is focused on building a registry of former contact sport participants to study clinical and
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; intermittently standing or walking with objects weighing up to 25 pounds; and sitting at a computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined
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data dictionaries for discrete data. Write, Implement, and develop efficient code and machine learning tools and pipelines for data processing and analysis. Work with collaborators to implement emerging
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(Python preferably) for medical imaging processing and machine learning. You are flexible, pro-active and an adaptable team worker. This is a full time, fixed term post (part time considered) for 12 months
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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