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-time university employees are available. Qualifications The successful candidate should demonstrate strong research experience in multiphysics modeling and/or machine learning in food processing and
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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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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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. • Familiarity with machine learning tools and libraries (e.g., scikit-learn). • Ability to work in a team. • Ability to provide work direction to students and support staff. • Ability
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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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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