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Field
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. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and modeling. Experience in grant proposal writing within a collaborative environment
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materials such as the magnetoelectric, high entropy oxides, through neutron scattering experiments. Additionally, collaborative work will be performed with the aim of developing and applying machine learning
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software skills in C++, python. Understanding of computing software development in the HEP environment, familiarity with machine learning (ML) techniques and experience with using ML software packages (e.g
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
-driven analyses. The fellow will also be expected to design and teach two distinct semester-long courses over the two-year period. Unique to the Turner Post-Doctoral Program is the possibility of a being
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. INSAIT has also excelled in other areas of computer science such as machine learning, computer vision, and robotics, with publications in leading venues like CVPR, NeurIPS, ICML, and ICLR. Structured
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
research questions and analysis independently and in collaboration. Experience with optical satellite imagery and/or machine learning. Interest in student mentorship and contributing to lab group projects
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computer vision projects Experience in software or webapp development/API integration Interest (but not necessarily expertise) in medicine and radiotherapy Required Application Materials: Curriculum vitae 2
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, qPCR, and other equipment as needed. Physical Demands and Work Environment Physical Demands: Standing, sitting, walking, speaking and hearing. Must be able to work at a computer for an extended period
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, Economics, or a related field, earned within the past six years Strong computational and statistical skills Experience with large-scale data analysis and machine learning Proficiency in scientific programming
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for adaptation to sea level rise along the Maine coast. This 18-month grant-funded position will be supported in partnership with Maine Coastal Program (MCP), Maine Geological Survey (MGS), and faculty from