68 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions at Drexel University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Learning Specialist Apply now Job no: 505691 Work type: Full-Time Location: University City - Philadelphia, PA Categories: College of Medicine Job Summary This position is responsible for assisting
-
the approved course description, foster active learning in all students, maintain proper course-related records, evaluate student work, and provide students with feedback. Courses that enroll 30 or more will
-
the College of Computer & Informatics’ Department of Computer Science seeks a part-time Research Assistant to explore the intersection of Large Language Models (LLMs) and automated planning. The Research
-
for follow up. Assist in the management and oversight for the senior class residency application processes including ERAS-Dean’s Workstation, SF Match, Military and NRMP R3 System. Participate in
-
project focusing on longitudinal data analysis using advanced data science, including using computer software R and/or SAS experience data analysis utilizing AI/machine learning techniques using R (R is
-
automation; machine design; and aviation and aerospace. The successful candidate will have a passion for excellence in teaching and in active, student-centered learning with a desire to further invigorate
-
Computer proficiency and willingness to learn new systems; Customer service experience in an attraction venue preferred; Excellent cash handling skills/experience a must; Must enjoy working with the public
-
with a desire to learn all aspects of the Network Program, and a willingness to use those skills to assist the Network in an “on-call” capacity. Candidate(s) will be trained in the Network program
-
online classroom courses Graduate degree campus-based clinical supervision courses Position Overview The adjunct instructor member will employ a variety of strategies to foster student learning and
-
research, policy, methods, or practice. Trainers are responsible for facilitating high-quality learning experiences for a diverse audience of researchers, practitioners, and professionals through in-person