15 condition-monitoring-machine-learning Postdoctoral research jobs at The University of Arizona
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Sign In Create Profile Postdoctoral Research Associate-Computer and Information Research Tucson, AZ, United States | req23101 Apply Now Share Save Job Posted on: 6/11/2025 Back to Search
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performance of tailings materials and storage facilities. Implement and refine the hydro-mechanical models to evaluate behavior under static and dynamic conditions. Conduct Laboratory and Field Investigations
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profiles, to identify treatment response patterns, subtypes, and critical intervention windows that reduce Alzheimer's risk Disease (AD) risk. This position will involve applying machine learning, deep
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work will focus on problems in controls, machine learning, image reconstruction, wavefront sensing, and instrument development and test. As time permits, you will be encouraged to conduct your own
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., transcriptomics, proteomics, metabolomics) and artificial intelligence/machine learning (AI/ML) applications in biomedical research will be considered a strong advantage. Outstanding UA benefits include health
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Qualifications Experience with Matlab, Phyton, C++ or other programming languages. Experience with remote sensing (multispectral and thermal IR). Experience with LiCOR measurements. Experience with machine
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Qualifications Experience with Matlab, Phyton, C++ or other programming languages. Experience with remote sensing (multispectral and thermal IR). Experience with LiCOR measurements. Experience with machine
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project described within the Position Highlights. Run computer simulations, write papers, and occasionally help with advising graduate students. Knowledge, Skills, and Abilities: Knowledge, in nonlinear
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related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing
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. This includes evaluating research data, revising, improving and monitoring techniques, and developing innovative methods and approaches to solve scientific problems while meeting goals and objectives in