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problems in a commercial technology and collaborative development environment. In this role, you will contribute to the development and deployment of modern machine learning methods for finding structure in
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in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic
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the framework of a pilot classroom research. DLFQ is able to measure data on the effectiveness of teaching and learning in the classroom. The Research Lab aims to further develop the dimension of the technology
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for processing, storage, analysis, indexing and retrieval • Analysis and engineering of data and business requirements • Build comprehensive semantic data models (ontologies and knowledge graphs) • Develop
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engineering and/or data science Contribute to curriculum development and general service and administrative tasks in the department Build and maintain corporate relationships in Austria and other relevant
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problem cases to users on-line, via phone and in-person. Provides feedback to his supervisor on users’ typical problems and inquiries. Supports the Head of Campus Technology and Support, the IT Coordinator
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Technology and Support, the IT Coordinator, the System Engineers and the IT Director, as needed. Helps with usage of interactive displays, wireless content sharing, room controls, online and video conferencing
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related field. Interest in Talent Recruitment and HR processes Interest in Technology Experience in an educational setting and in higher education sector Ability to work effectively with all levels
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your interest in the position and a description of your current research; your CV (please label this file as YOURNAMECV; do not label it simply CV); one article-length writing sample; and the names
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interpersonal skills Familiarity with current trends and best practices in higher education recruitment Ability to think creatively and strategically to address recruitment challenges Strong organizational and