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Field
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field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject
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to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so
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technology that will make it possible to publish, combine, and preserve statistical models for physics experiments and beyond, and to make them usable across programming languages (C++, Python, and Julia
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 6 hours ago
) 998-4606 Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries
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, impacts, or resilient system design. Proficiency in programming (e.g., Matlab/Simulink, Python, ROS) and embedded sensing. Good analytical skills, ability to design experiments and prototypes, familiarity
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to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all
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Criteria Demonstrated experience with mathematical modelling, algorithm design, or theoretical analysis of learning systems. Proficiency in Python Background in statistical learning theory, conformal
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applications Proficiency in programming and data analysis languages (LabVIEW, Python, MatLab, OriginPro, JMP, or similar) Knowledge of ferroelectric materials and their properties Advanced knowledge of complex
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experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience in python programming and machine learning models
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to magnetosphere-ionosphere coupling; experience with magnetometer and incoherent scatter radar data is particularly welcome. Excellent skills in Python programming for space science applications; experience with