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Field
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to integrate large and complex molecular datasets with information at individual level, with specific attention to open and reproducible research, e.g., in the development of codes and algorithms. We will focus
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and manage multiple tasks; and • Excellent written and oral presentation skills for reaching audiences both in and out of one’s own field Key Responsibilities & Accountabilities 85% - Co-develop with
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. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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to seek an optimal integration between the physical representations of the various processes and the computing power of the AI algorithms. Key duties Develop a robust framework to simulate streamflow
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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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associated with the Center for Digital Narrative (CDN) , a Norwegian Center for Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural
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Norwegian Center for Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural contexts in which digital narratives are received and
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and