38 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Temple University
Sort by
Refine Your Search
-
to work with undergraduates in both a studio and classroom setting. The primary responsibility of this position is to teach live newscast production, including production of Temple’s award-winning weekly
-
at the Instructor or Assistant Professor of Instruction rank to teach in its undergraduate and graduate programs and to collaborate with interprofessional colleagues across the College of Public Health. The faculty
-
Biostatistics is hiring a non-tenure track instructional faculty member in Biostatistics, and we invite applications for an enthusiastic instructor to teach undergraduate and graduate-level courses in
-
dependents can obtain a degree TUITION FREE A generous retirement plan and so much more! Salary Grade: T26 Learn more about the “T” salary structure Salary Range: Up to $75,000.00 per year A variety of
-
education. Responsibilities Teach undergraduate courses in Physics. Contribute to departmental, college, and university service. Qualifications Required: PhD in Physics. Demonstrated potential for excellence
-
POSITION SUMMARY. The Temple University School of Social Work invites applications for a tenure track faculty position at the Assistant/Associate Professor rank to advance a funded research agenda, to teach
-
. Responsibilities Teach undergraduate and/or graduate courses in Physics. Conduct scholarly research and publish in peer-reviewed venues. Seek external funding to support research activities. Mentor and advise
-
should be received by 20 October 2025. Responsibilities Teach undergraduate and/or graduate courses in International Relations. Conduct scholarly research and publish in peer-reviewed venues. Seek external
-
conduct scholarly research and publish in peer-reviewed venues, teach undergraduate and/or graduate courses in Communication Sciences and Disorders and related areas, seek external funding to support their
-
underlying spatial data, high-dimensional and big data (e.g., data from wearable devices, electronic health records), Bayesian statistics, and learning algorithms as novel data analytical tools in applications