15 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions at Johns Hopkins University
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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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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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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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letters of reference on this form --https://www.hopkinsmedicine.org/-/media/physical-medicine-rehabilitation/documents/ot-edu/lor-request.docx . You will have the opportunity to send a message to your
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for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive modeling, machine learning
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members of underrepresented groups. Application Materials Required: Further Info: http://physics-astronomy.jhu.edu/ 410-516-7346 The Johns Hopkins University Department of Physics and Astronomy 3400 N
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§ Experience in the collection and processing of TEM/STEM data § Computer programming for custom data processing § Strong oral and written communication skills. Application Instructions Please upload
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the Ancient Americas to begin July 1, 2026. Fellows will teach one class each semester (undergraduate or graduate) and participate fully in the life of the department and university. We encourage applications
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grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all