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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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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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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
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research groups to help identify, implement, and improve their computational workflow, as well as assist in facilitating scientific computing solutions specific to NU researchers. As a PhD level scientist
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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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technology aspect of the successful candidate's research program may include artificial intelligence methods, health data forecasting, health informatics, or digital health. Candidates with a digital health
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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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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific