7 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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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