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This position will be dedicated to research projects aiming developing and implementing experimental focused application of AI and automation tools for unraveling fundamental interfacial processes
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with students, faculty, staff, and community members. Strong written communication skills. Preferred Qualifications: Experience with computational tools for microbiome sequencing analysis (e.g., HUMAnN
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
candidate will join the preclinical imaging team to develop new imaging protocols and image analysis approaches, and develop new theranostic tools in the field of molecular imaging and radiation research
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. Preferred Qualifications: Experience with computational tools for microbiome sequencing analysis (e.g., HUMAnN, MetaPhlAn, or similar). Proficiency in programming languages for data analysis (e.g., R, Python
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, Bootstrap, Git + GitHub, CI tools is required, as is familiarity with Python and REST APIs. Applicants should possess great communication skills and interest in working with other teammates. Familiarity with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
provide the tools and flexibility for all employees to achieve success and excellence within their chosen occupations and aspirations. We are committed to open dialogue, careful listening, becoming educated
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to candidates that are proficient with graph neural networks and other scientific machine learning tools. Additional Information: Applicants must complete the Penn State application and must also submit
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. · Develop and characterize novel electrode materials, electrolytes, or battery architectures. · Utilize advanced electrochemical techniques (e.g., CV, EIS, GITT, PITT) and materials characterization tools
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
are of particular interest. The candidate will also develop or improve software for the analysis of these unique MRI data, such as object detection, motion correction, and denoising. These novel MRI tools will be