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contribute to the excellence of our academic community. KEY RESPONSIBILITIES: Creates and maintains a data dictionary and meta data. Supports efforts to ensure that data standards are developed and maintained
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basis for the first draft of written reports, and makes preliminary interpretations of the data. Assists with assembly, annotation, meta-genomic analysis, and genotyping using high-throughput sequencing
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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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, perform data cleaning. Develop machine learning algorithms, natural language processing tools, and end user tools. Develop and interpret MCMC models; develop meta-models. Analyze epidemiologic and
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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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to temporal data, such as RF I/Q streams, audio, or video. (2) Quantum information science and engineering, with emphasis on quantum algorithm development using current and/or near-term quantum computers (3
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, and YouTube. Familiarity with social media management tools (e.g., Sprout Social, Hootsuite, Later) and analytics platforms (e.g., Meta Insights, Google Analytics). Strong skills in short-form video
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opportunities. Define target audiences for social channels and set guidelines for the development of highly engaging content that accounts for platform algorithms. Conceive of integrated digital storytelling