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developing digital and virtual reality capabilities and distance learning platforms. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU
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Intelligence and Machine learning for advanced materials development, ML-guided experiments, or autonomous/robotic experimentation. The candidate should have a strong background in both the computational and
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the ECE Department at UCLA. This project requires background and expertise in Computer Science, Machine Learning, Image Processing, Neural Networking, and Visualization. Outstanding UA benefits include
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flux dynamics to the molecular microbial ecology of methane cycling organisms. The candidate will use a computational modeling framework (including exploration of machine learning approaches
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Department Sch Geography, Dev & Environ Department Website Link Location Main Campus Address Tucson, AZ USA Position Highlights We seek a post-doctoral researcher to support machine learning for flood
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on topics including molecular clouds and star formation. Candidates with experience in machine-learning and magnetic field observation/simulation are particularly welcome to apply. Experiences with (sub-)mm
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skills in natural language processing, dynamic systems modelling, machine learning, and data science of “big data” are also strengths for the datasets with which the postdoctoral fellow will be working
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currently accepting postdoctoral scholars include: Dr. Elise Erickson. Applicants are encouraged to visit the faculty interests and expertise page to learn more about individual faculty research programs
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detail based on the data fusion concept. These individuals should have strong backgrounds in numerical methods, computer programming using Python, Fortran, or C##, some familiarity with hydrogeology
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, and service. Your 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