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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
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and policy issues. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with general guidance and manage multiple research tasks
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to quickly learn and master computer programs. Ability to work under deadlines with general guidance and manage multiple research tasks simultaneously. Excellent organizational skills and demonstrated ability
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in a related field. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with general guidance. Excellent organizational skills and
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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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Abilities: Comprehensive understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong analytical skills and excellent judgment
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from varied sources, and machine learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with
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related field. Knowledge, Skills, and Abilities: Comprehensive understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong
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experience in Stata, R, SAS or similar statistical programming languages Prior experience with machine learning and natural language processing is a plus. Application Instructions: To be considered, please
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or similar statistical programming languages Prior experience with machine learning and natural language processing is a plus. Application Instructions: To be considered, please submit the following items