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Field
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dark-field STEM imaging, energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy, at the intersection of electron microscopy, software engineering and machine learning. Major
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learning architectures for scientific or high-performance computing applications. Background in software performance evaluation, profiling, and optimization on CPUs and GPUs. Knowledge of common numerical
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the research lab on assigned projects • Computer software, equipment operation, or research technical skills How to Apply: For full consideration, please submit the following document(s): 1. A letter of
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the tissue. Analyzing research data using different computer software Generation of preliminary data for grant applications. Writing drafts of manuscripts. Coordinating with other investigators for lab
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computational scientists, economists, engineers, and other researchers to develop data-driven, decision-relevant analytical tools for complex industrial systems. Key Responsibilities: Develop, improve, and apply
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programming background Experience in computer vision projects Experience in software or webapp development/API integration Interest (but not necessarily expertise) in medicine and radiotherapy Required
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scholarship and applied research, developing prototypes and capabilities that strengthen model-based and data-driven approaches. The position values interdisciplinary thinking, particularly where software
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
information and library science with leadership in data science, including computational and statistical methods, and societal applications. Home to a top ranked library and information science program, SDIS is
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; contributing to the chemistry education research program with novel project ideas; assisting with extramural funding proposals; mentoring graduate and undergraduate students; and supporting group activities
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research. Preferred Qualifications: Advanced proficiency in dataset management and statistical analysis using Stata, R, and/or other specialized statistical software Strong record of analytic writing in