-
analyzing real world data. In addition to undergraduate courses, the candidate will also be able to teach and advise graduate students at the introductory and advanced levels. This is a non-tenured
-
, testing/deployment procedures, algorithms for data mining, version control and code integration, thorough documentation, and automation and streamlining of data processing pipelines. Applies creativity and
-
practices in data analytics and data engineering – including robust validation processes, testing/deployment procedures, algorithms for data mining, version control and code integration, thorough
-
practices in data analytics and data engineering – including robust validation processes, testing/deployment procedures, algorithms for data mining, version control and code integration, thorough
-
of UTHS technology stack and recommend refinements to integrations, prepare data mining reports for supervisors and program leads, and engage with vendors and technology team and UTHS leadership to lead
-
). System level knowledge of programming, OS operations, database query, and data mining experience. System level knowledge of server, applications, workstation, image modalities, and client-server networking