28 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " research jobs at Johns Hopkins University
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to Professor Danielle H. Speller at dspelle1@jh.edu. Review of applications will begin June 1, 2025. Expected start date is August 2025. For information on benefits, please see https://hr.jhu.edu/benefits
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Rajendran. The successful candidate will have expertise in theoretical particle physics and a PhD in physics or a related discipline by September 2026. Applications MUST be submitted through: https
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their field of view, guided by their gaze. The success of this project will be critically dependent on the contributions of a researcher with expertise in human and machine vision. Qualifications The ideal
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Duties and Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables
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. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation
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or similar functions/tasks for research study(ies) in support of a PI or a research team. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review
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modeling, machine learning methods, and applications involving text and other non-traditional data sources. The fellow will contribute to and extend research in these areas, engaging in projects that develop
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Qualifications ? Ph.D. in Physics, Materials Science, or a related field with a concentration in electron microscopy methods ? Experience in the collection and processing of TEM/STEM data ? Computer programming
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Computer/Information Sciences Internal Number: A-179059-11 General Description The Johns Hopkins University Data Science and AI (DSAI) Institute welcomes applications for its Postdoctoral Fellowship program
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support of a PI or a research team. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure