Sort by
Refine Your Search
-
Category
-
Field
-
Language Processing, and Electronic Medical Record (EMR) data mining. Prior experience in deep learning, biophysics or omics data analysis is essential. Preference will be given to applicants with prior training in
-
and data engineering, probability and statistics, machine learning, data visualization, database management systems, data mining, and predictive analytics. The Bachelor of Professional Studies in
-
and data engineering, probability and statistics, machine learning, data visualization, database management systems, data mining, and predictive analytics. The Bachelor of Professional Studies in
-
Association of Procurement Card Professionals is preferred. * Familiarity with data mining software is preferred. KEY RESPONSIBILITIES & ACCOUNTABILITIES 1) Responsible for leading the day-to-day operations of
-
visualization, database management systems, data mining, and predictive analytics. The Bachelor of Professional Studies in Analytics program aims to foster foundational analytics skills among working
-
Analytics, Data Mining, Machine Learning, Optimization, Systems Simulation, Cloud Analytics, and Computational Tools for Analytics. Proficiency in Python, R, and SQL is an added advantage. While not a
-
graduate levels within the MIE department with primary emphasis on simulation, algorithms and optimization, data mining, database management, machine learning, and data analytics, as well as experience in
-
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