28 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" Fellowship positions
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). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis, computational social science, and/or machine learning applications. Acquisition, processing, and analysis
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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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of faculty supervisor, develop novel techniques incorporating machine learning in particle physics event generators. Contribute to the development of machine learning driven techniques in the Pythia 8 event
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Organization U.S. Department of Defense (DOD) Reference Code USAMRDC-MRIID-2026-0003 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description
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are template based and all US measurements are auto-populated into templates for increased accuracy and efficiency. Fourteen fellowship-trained, subspecialized expert faculty perform both image interpretation
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required. § The prospective applicant does not have to be an expert in localization. However, good knowledge of wireless communications, digital signal processing, and computer algorithms is required
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within five years of the application date. U.S. military veterans who have been honorably discharged (or who have been medically discharged because of a service-connected disability) and who received a
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located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
accessed using the link above. Jiawei Zhou Ph.D. The candidate will be co-mentored by Dr. Yanguang (Carter) Cao and Dr. Jiawei Zhou to advance the development of artificial intelligence/machine learning (AI
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the school. Fellows will teach one studio and two elective courses over two semesters that focus on the Fellow's research project. The combined research and teaching will culminate in a public lecture and