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Wissenschaftliche*r Mitarbeiter*in (salary level E 13 TV-L, 67%) commencing on 1 July 2025. We are offering a fixed-term part-time position (67%) for 3 years. Full-time employees are required to teach 4 hours per
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related field Sound knowledge in the field of artificial intelligence and machine learning Ideally experience with knowledge graphs, semantic search, graph neural networks (GNNs), explainability
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willingness to learn and acquire new skills while adapting to evolving challenges. Strong organizational and communication skills, with the ability to work effectively within an international team. Independent
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available in the further tabs (e.g. “Application requirements”). Objective TheMuseumsLab is a programme for joint learning, perspective exchange, networking and career building among African and European
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Further information Hochschule Offenburg Department of Electrical Engineering, Medical Engineering and Computer Science: Institute for Machine Learning and Analytics Institute of Reliable Embedded Systems
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apply? Excellently qualified academic staff of higher learning institutions and of public Kenyan research institutions in the STEM subjects (Science Technology Engineering Mathematics) and Agriculture
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. The DUS acts as a mediator between the teaching staff and the students. In addition, the scholarship offers workshops (on time- and learning management skills, application training), coachings
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and support the local subject-specialist teachers in their native languages. The FLA assist the teachers during 12 lessons per week and help make the situation of learning a foreign language lively and
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to teach at a higher education institution in Germany) Duration education and training: 2 days (programme countries) or 5 (partner countries) to 60 days (excluding travel times) teaching: teaching duration
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relationships by the German University Foundation obligatory biannual seminars to further core skills in the following fields: mentoring as a chance and a mission, self- and learning management skills, job