Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Job Posting Title: Associate Registrar for Veteran and Military Support and Certification Services ---- Hiring Department: Office of the Registrar ---- Position Open To: All Applicants ---- Weekly
-
. The School of Civic Leadership especially seeks diplomatic and military historians, political scientists, international relations theorists, political theorists, classicists, and others who bring relevant
-
, such as algorithms, web applications, cybersecurity, and topics related to artificial intelligence, computer systems, and UI/UX. We have opportunities to teach classes dedicated to CS majors as
-
considered an advantage. Applicants will need expertise and desire to teach in various areas of Electrical and Computer Engineering. Current teaching opportunities specifically exist in programming, software
-
model or machine-learning-enabled assets at a company or University). Basic understanding of early-stage technology development. Knowledge of basic principles of intellectual property and licensing
-
medical imaging and theranostics. Expertise in fundamental and applied machine learning and artificial intelligence for advancing clinical medicine is of particular interest. About TITAN: The Texas
-
Security Studies. The School of Civic Leadership especially seeks diplomatic and military historians, political scientists, international relations theorists, political theorists, classicists, and others who
-
degree in electrical engineering, computer engineering, computer science, or a related discipline prior to August 2026. Successful candidates are expected to mentor graduate students, teach our
-
/IP Linux network systems including security settings, audit mechanisms, compliance mechanisms and infrastructure mechanisms. Design and develop information security automation of modern computer Linux
-
of well logs using reproducible Python pipelines, then curate and organize the filtered datasets within a structured Petrel project. The position will build and validate machine-learning electrofacies