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. This position, funded by ALRI, offers an initial one-year appointment, with renewal contingent upon availability of funding. Cnducts cutting-edge research in artificial intelligence, machine learning
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The Department of Electrical & Computer Engineering (ECE) at The University of Alabama is recruiting motivated PhD students to join our cutting-edge research program.Qualified applicants can
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machine learning applications. Acquisition, processing, and analysis of remote sensing imagery. Proficiency with GIS methods, applications, and visualization. Prior experience engaging with stakeholders and
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intelligence, machine learning, big data and network analysis, computational and Bayesian methods, are encouraged to apply. Minimum Qualifications PhD in Statistics or closely related fields with documented
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research in a university environment. • Expertise in advanced geospatial topics such as web GIS (ArcGIS Online, Mapbox), cloud computing platforms (AWS, Google Cloud), or machine learning applications
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Qualifications: Knowledge of kinetic modeling and/or machine learning interatomic potentials. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment
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simulations for large systems. Deploys machine learning tools to extract lessons from simulation results as well as from experimental datasets. Designs new chemicals for specific applications. Analyzes
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, Geography, Civil Engineering, Computer Science, Mathematics, Physics or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning
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level, the CCEE department also has active MS and PhD programs in Civil Engineering and MS program in Environmental Engineering, with a total sustained graduate enrollment of nearly 120 students
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800 students. At the graduate level, the CCEE department also has active MS and PhD programs in Civil Engineering and MS program in Environmental Engineering, with a total sustained graduate enrollment