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Posting Summary Logo Posting Number RTF00009PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post-Doctoral
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across multiple ecologically relevant scales to inspire and inform the conservation of wildlife and habitats. Our highly interdisciplinary team of scientists, educators, engineers, students, and research
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across multiple ecologically relevant scales to inspire and inform the conservation of wildlife and habitats. Our highly interdisciplinary team of scientists, educators, engineers, students, and research
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Excellence. About George R. Brown School of Engineering and Computing The George R. Brown School of Engineering and Computing ranks among the top 20 undergraduate engineering programs (US News & World Report
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Independently conduct molecular cloning, mutagenesis, protein purification, protein characterization, protein engineering and design, enzyme kinetics, protein crystallization. Microbiology assays, including C
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development economics. Faculty members in the Dyson School frequently collaborate with colleagues in Computer and Information Sciences, Economics, Engineering, Natural Resources, and other units on campus
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, or engineering. Preferred Qualifications: The ideal candidate will bring experience or a very strong foundational understanding in areas such as high‑dimensional data analysis and translational research, and must
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their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
or related Engineering or Physics. Required Qualifications, Competencies, and Experience PhD degree in Biomedical/Electrical or related Engineering or Physics. Experience with MRI acquisition and data analysis