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science, computational sciences, or mathematics is preferred. The successful candidate will need to have completed all PhD requirements by their start date. Knowledge required includes machine learning and statistical
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machine learning tools into methods that facilitate high throughput phenotyping. Continuation of this grant-funded position is contingent on availability of funds and satisfactory performance. LOCATION
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Hong at the Department of Biochemistry and Cellular and Molecular Biology (BCMB), the University of Tennessee, Knoxville (UTK). Work in the group involves using multi-omics data and machine learning
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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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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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, developing machine learning algorithms and models, geocoding, and visualization of the proposed framework. The successful candidate will work with a team of experts led by Dr. Arash Shaban-Nejad and David
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Professor Alan Tennant on novel quantum magnetic phases, out-of-equilibrium phenomena, and application of machine learning. Candidates who have experience in neutron scattering, materials characterization and
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Center is looking for highly motivated candidates for a Postdoctoral Scholar position. The successful candidate will have the opportunity to develop innovative machine learning strategies for equitable