632 programming-"the"-"DAAD"-"IMPRS-ML"-"U"-"PDI-Service" positions at Northeastern University
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, graduate, and doctoral students on campus and online in more than 90 programs. About the Opportunity: Faculty members teach in both in-person and online modalities with a diverse student body. The successful
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operations of the Academic Center through supervision, program coordination and collaboration with campus partners. This position will also oversee academic support for assigned student-athletes/sport programs
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positions for teaching graduate courses in the Cyber-Physical Program in Toronto, ON. Students in this program learn about the set of technologies, systems, and design principles associated with the emerging
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Number: 6585572 Designer - AIEP Project About the Opportunity With the support of the Chan Zuckerberg Initiative, the Burnes Center for Social Change, its AI for Impact program, and Innovate Public Schools
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Justice (MSCJ) Program at its Arlington, Virginia (National Capital/Washington, DC area) campus. Part-time instructors are needed to teach graduate courses in Criminology, Global Criminology, and Criminal
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field. Courses include primarily biological science courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek
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works closely with the program team, supporting the planning and supervision an exemplary curriculum for the designated program, using a reflective, inquiry approach to analyze and improve instruction
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to and from university-sponsored activities, events, and programs. This role requires a commitment to safety, customer service, and adherence to university and state transportation policies. Key
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. Knowledge of systems programming skills and concepts Experience with fundamental OS and storage concepts. Experience with programming heterogenous architecture. Preferred Qualifications: Experience with CUDA
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, configurable, cross-platform software in C#, emphasizing clean architecture, defensive programming, testing, and reliability at scale for tools used to measure and train cognitive processes. In this role