16 condition-monitoring-machine-learning Postdoctoral positions at The University of Arizona in United-States
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projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions for SDA
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research projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions
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domestic, one local). Monitor field instrument performance and troubleshoot issues. Lead efforts to gather, analyze, and interpret H2 and sensor data using findable, accessible, interoperable, and reusable
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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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the University of Arizona and relocations services, please click here . Duties & Responsibilities Maintain and operate multiple recirculating aquaculture systems in a greenhouse. Work with students to monitor and
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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