156 computer-science-programming-languages-"the"-"Humboldt-Stiftung-Foundation"-"O.P" positions at University of Michigan
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in the French section of the Elementary Language Program (ELP) beginning on August 25, 2025, and runs through December 31, 2025. Mandatory Orientation for all instructors is August 18-21, 2025
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extensive experience in the delivery of speech language pathology services to patients in the context of a head and neck cancer clinical program. The candidate must have experience in conducting research
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programming languages such as Matlab, Python, C/C++. Familiarity with cloud computers. Experience with MRI and medical physics. Desired Qualifications* Familiarity with Docker and Kubernetes, and their
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Engineering majors); and on supporting upper-level courses (as needed). The TC Program offers a range of courses, which can vary in credit hours (1-4 credits) and overall teaching workload (20-50% effort). A
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techniques Knowledge of the software development lifecycle and process improvement methodologies Proficiency with one or more procedural or object-oriented programming languages Proficiency with reporting
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, interior designers, project/program managers, and 3 technical student interns is charged with creating vibrant and engaging student life spaces that improve and enhance the daily living and learning
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Computer Assisted Interview (CAI) survey instrument testing Identify and document program errors and changes in the instrument Provide translation, proofing, and editing of questionnaires, respondent
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Apply Now Job Summary Information and Technology Services (ITS) has an exciting opportunity to hire a Storage Engineer Associate in our Advanced Research Computing (ARC) department. This position
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-gradservices@umich.edu with any questions related to your application. Decision Making Process All applications will be forwarded to the Director of the Japanese Language Program and the primary instructor
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content classification and filtering, including handling encrypted DNS traffic (e.g., DoH, DoT). Build and refine knowledge graphs from multimodal data using large language models (LLMs) to enable