-
computer programming for health data analytics using Python and/or R, applications of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) in healthcare, health data
-
engagement in health informatics. Areas of emphasis include, but are not limited to, applications of artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and large language
-
areas such as , computer engineering , cyber-physical systems , digital logic, computer organization, embedded systems, and/or computer architecture. , Machine Learning , microsystems , power systems
-
students who are prepared for a lifetime of learning and rewarding work. Candidates should hold a PhD or master’s degree in electrical and computer engineering or related fields and should be comfortable
-
Health Informatics professionals with skills in explaining Health Information Technology, Machine Learning, and Data Mining. Salary and benefits are competitive and commensurate with credentials and