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of Assistant Teaching Professor, Associate Teaching Professor, or Full Teaching Professor. The primary teaching responsibility for these positions will be macroeconomics, with a particular emphasis on large
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systems and object stores, infrastructure-as-a-service platforms, open-source cloud platforms, key big data platforms, and topics in data center scale systems. Combines lessons, practical work on AWS and
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, implement, and improve their computational workflow, as well as assist in facilitating scientific computing solutions specific to NU researchers. As a PhD level scientist, you will also participate in grant
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, LangChain, HuggingFace, axolotl. Knowledge of and ability to select, adapt, and effectively use large AI foundational models. Professional experience developing solutions using NLP, computer vision, or
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distinguished practitioners on the cutting edge of interdisciplinary research and criminal justice policy. The school has a highly ranked PhD program, a quickly growing master’s program, and a unique
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majors combined with other majors, and over 100 PhD students. The College of Science and Physics Department are in a vibrant expansion phase. The Department of Electrical and Computer Engineering (https
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to academic leadership. Renowned for his work in Big Data and healthcare innovation, Dr. Madigan has authored over 200 publications covering topics such as Bayesian statistics, text mining, and probabilistic
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, adapt, and effectively use large AI foundational models. Experience with distributed data systems such as Apache Spark. Expertise in analyzing large, complex, multi-dimensional datasets with various tools
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artificial intelligence methods, health data forecasting, health informatics, or digital health. Candidates with a digital health focus may either develop these tools themselves or work collaboratively as part
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QUALIFICATIONS • PhD or another terminal degree in social, biological, information or physical science field by the appointment start date. • Demonstrated track record of scholarly achievement in relevant areas