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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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. in a relevant discipline at the time the appointment begins. Relevant disciplines include computer science, computer engineering, electrical engineering, mechanical engineering, or a closely related
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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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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment
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of proteomics. Research interests should be compatible with other current strategic areas of expansion including: Chemistry of Life Processes; Complex Biological Systems & Quantitative Biosciences
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data to identify novel disease phenotypes. The candidates will work within a highly multi-disciplinary team of physicians, physiologists, electrical and biomedical engineers and computer scientists and