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candidates and MSc students. You will work with our e-learning specialists to develop online educational materials. You will also publish your research in scientific journals, conferences, and open data/code
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of two interview rounds. After the first round, you will be notified if you’re through to the second interview round. Application deadline: September 17, 2025 1st round interviews: Week 40 2nd
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material that enables students to work together and learn how to understand and apply course material. Tutors work within a team to align on meeting course objectives, delivering tutorials, and grading
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Creativity, Authenticity, and Cultural Mediation: Ethnography of China-Africa Fashion Trade and Cons
, restraints and materialities of China’s power expansion through everyday fashion; to collect and triangulate empirical information along complete South-South commodity chains through multi-sited ethnography
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Creativity, Authenticity, and Cultural Mediation: Ethnography of China-Africa Fashion Trade and Cons
-Africa Fashion Value Chains. The aims of the project are: to move beyond a Western-centric epistemology to map the chains, restraints and materialities of China’s power expansion through everyday fashion
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emergency response trainings to align with the project’s goals, including analysis and supporting publication of findings; Help to produce capacity building materials and events; Support the development and
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sure everything works properly, think along about improvements and help professional users as a second-line user. In addition, you are also a cooperating Scrum Master/ Cooperating foreman. This means
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publication of findings; Help to produce capacity building materials and events; Support the development and hosting of online training(s) and webinars hosted on the Sonar-Cities Knowledge Platform; Support the
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of Analytical Toolset for recognition of Planetary Materials and Validation of Spectra Classification Methods Interns are sought to contribute to the ongoing enhancement and development of the PANGAEA analytical
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of educational material for the Space Medicine Team members for the topic of medical data management. Your main responsibilities will be: Improve OCR (Optical Character Recognition) algorithm for automated