99 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Texas at Dallas
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, with an emphasis on foundational knowledge and a willingness to learn and grow in these areas. The position plays a pivotal part in the organization’s Infrastructure Services, with opportunities to be
-
of Digital Humanities, including publications and conferences. The successful candidate will teach classes at both the undergraduate and graduate levels, both in person and online. The appointment commences
-
of Digital Humanities, including publications and conferences. The successful candidate will teach classes at both the undergraduate and graduate levels, both in person and online. The appointment commences
-
military ranks and will use feedback and inputs in an agile manner to constantly learn and improve delivery of cognitive tools. Will help to establish longer-term roadmap for sustained engagement. Is a team
-
will also teach courses supporting the program’s new baccalaureate degree in Professional Communication and Digital Media Studies. The appointment commences for the fall 2026 semester. Qualifications
-
of teaching and learning, and teaching and assessment methods, and how their teaching practices will engage students from a range of backgrounds and experiences. · Research statement describing past
-
able to teach applied/private lessons in a range of styles, direct UT Dallas’ Guitar Ensemble, teach introductory guitar, and offer other courses reflecting the applicant’s particular skills or research
-
in Data Science, Computer Engineering, Computational and Geospatial Science, and Cybersecurity Technology and Policy. The department is home to 57 tenure-system faculty members, including many NSF
-
Computer Science and Software Engineering. It also offers joint degrees in Data Science, Computer Engineering, Computational and Geospatial Science, and Cybersecurity Technology and Policy. The department is home to
-
control in a variety of multidisciplinary applications; modeling, analysis and control of multiagent systems; complex networks; graph machine learning for network control applications, resilience and