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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical processes from multiple emissions sources as represented in current models, and quantitative analysis
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algorithm-based technologies in service occupations, with a focus on how collective bargaining and other forms of collective worker voice influence these strategies and worker outcomes. The US research will
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. The Postdoctoral Research Associate will work primarily with Professor Qian Yuan and Professor Benchun Duan to develop and employ algorithms to link mantle convective processes with earthquake ruptures. The position
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model
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data, metabolomics and/or proteomics. Develops robust pipelines for data annotation, analysis, and quality control. Creates analytical algorithms and tools to address scientific questions with big data
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algorithm sensing, navigation and control of robot systems, including mobile robots and robot arms/manipulators; designing and implementing algorithms for machine learning, computer vision, and/or estimation
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want The postdoctoral research associate will be working on developing machine learning/artificial intelligence algorithms for various applications, including energy systems, health systems, and marine
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technology of nanomaterials and molecules. Develop small molecule sensing platform. Collaborate with colleagues across multiple Universities to integrate inputs. Contribute to the dissemination of research
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. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
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research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks