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Field
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simulation software related to radiation transport and computational fluid dynamics. Conduct performance profiling of existing scientific software to identify bottlenecks and implement strategies for improving
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automation methodologies and software infrastructure for next-generation computing systems, including neuromorphic and emerging hardware platforms. The position involves designing high-performance algorithms
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
researchers across the UNC scientific community in units such as the Computational Medicine Program and the Lineberger Comprehensive Cancer Center. The postdoctoral fellow will play a central role in advancing
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both computational and experimental biology to join our team in reimagining how we discover and deploy drug combinations in the clinic. Our work is highly interdisciplinary, integrating high-throughput
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operations, and contributing to proposal writing for external funding. Primary Accountabilities: 1. Data Analysis & Interpretation — Perform rigorous analysis of experimental data using relevant software
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group addresses this mission through the development of quantum computational methods and software for diverse scientific applications. Major Duties/Responsibilities: Conduct research in mathematical
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mechanics, FEA, CFD, or equivalent field. Proficiency in one or multiple finite element analysis software (e.g., ABAQUS, LS-Dyna, ANSYS), and in computational fluid dynamic software (e.g., Fluent, CFX
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experience with design and manufacturing; research experience in ergonomics; hands on experience with robotic hardware and tool usage in a field environment; proficient in design software using solidworks, 3-D
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longitudinal early-onset Alzheimer’s disease study. Specific responsibilities include: developing statistical models, software implementation, writing and publishing papers in peer-reviewed journals, and
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deployment; building research software (e.g., Python packages, database systems) and other open-source tools for computational social science research. Other potentially relevant experiences and skills include