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Post-Doctoral Research Associate- College of Nursing - 24000000L7 Description Postdoctoral Researcher - Machine Learning and Big Data in Electronic Health Records and Other High Consequence
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responsibility of carrying out independent research related to application of machine learning and data mining techniques to analyze multiple data modalities related to corneal disease, including imaging, genetic
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multidisciplinary team of engineers, hydrologists, and environmental scientists to integrate simulation results with experimental and field data. Apply machine learning and data analytics techniques to improve model
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tracking, and tissue-camera interaction. The candidate will also be required to develop and implement machine learning methods for part inspection and trajectory planning tasks using robotic manipulators in
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-health/e-health, data management, big data analysis, multilevel statistical analyses, machine learning, and a track record of publishing in peer-reviewed journals Qualifications Qualifications
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combining advances in robot design, model-based tissue mechanics, computer vision, and machine learning. Interested applicants are invited to submit their CV, cover letter, and contact information for three
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, parallel and distributed computing, machine learning, or data analytics. The successful candidate will possess excellent organizational, interpersonal, problem-solving and communication skills, including