66 machine-learning-"https:"-"https:"-"https:"-"Linnaeus-University" positions at Drexel University
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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
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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
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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
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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
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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
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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
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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
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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
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Proficient level of computer proficiency in word processing, email, and virtual meeting applications, preferably Zoo, Google Workspace, or Microsoft 365 platforms. Preferred Qualifications Prior experience
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projects, engage in advancing recently established dept. industry partnerships; advise campus student organizations; develop & teach courses in engineering reliability, systems, robotics & control, design