5 machine-learning-phd positions at California Institute of Technology in United States
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with a strong background in machine learning, neural computation, applied math and computer science. Essential Job Duties Work with PhD students in developing paradigms for studying the dynamics
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desired. Essential Job Duties Operation of the wind tunnel facility. Data acquisition. Data analysis and machine learning. Report writing. Basic Qualifications PhD in Aerospace Engineering, Mechanical
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tunnel experiments, data analysis using Machine learning techniques, and report writing. In addition to a strong foundation in aerodynamics, the candidate should have a robust background in applying
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scientists, applied mathematicians, and engineers. Work in a friendly and diverse working environment, collaborating closely with researchers in climate science, machine learning, and applied mathematics
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, for injection into simulated images. Assist with organizing community-wide workshops on RAPID. Assist with development and validation of the RAPID pipeline, specifically, machine-learning algorithms. Conduct