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to contribute to the design and collection of future YSL waves and disseminate findings to relevant audiences. The successful candidate will join the YSL research team (two PhD students, one postdoctoral
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of two referees, with an indication of their links to the candidate (e.g., supervisor of the PhD thesis) Early application is highly encouraged, as the applications will be processed upon reception
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workshops, seminars and conferences Supporting a small team of PhDs related to the project Publication of articles in scientific reviews and contributions to conferences Assisting with teaching activities
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Applications should include: Curriculum Vitae List of publications and manuscripts in preparation (if applicable) Copy of PhD degree certificate, if available Cover letter including: Self-assessment
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Support the development of pedagogical content for MOOCs, workshops, and blended learning formats Participate in hackathons, workshops, and AI public engagement events to help transfer knowledge and foster
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education and experience but don’t tick every technical skill listed, we still encourage you to apply! We value motivation, and willingness to learn, and a passion for data systems and research infrastructure
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phenomenology; experientially taking a belief to be true when we first acquire it and if we later entertain it in thought. On our view, if a belief doesn’t seem true, it won’t be able to play a role in our