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must have a PhD degree or must document equivalent qualifications in a relevant field related to Natural Language Processing (NLP), Literature, Information Science, Media Studies or a closely related
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. At the Department of Public Health, you will have approx. 200 colleagues, including ninety academic staff members and a corresponding number of PhD students. We work closely with one another across different fields
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. The successful applicant will also have excellent opportunities to participate in collaborative initiatives with partners both inside and outside Aarhus University. Qualifications Applicants must hold a PhD degree
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to collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, and PhD students. Candidates will become part of a collaborative work environment within and outside QGG
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managers and Web designers. You will work closely with PhD students, Postdocs and Professors which means you can grow your network and get experience in research and AI. We are a young, interdisciplinary
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to teach and supervise students at the BSc, MSc and PhD levels and to carry out individual and group-based research of the highest international standard contributing to the development of our academic field
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international quality, including publication. Teaching, guidance and examination of Bachelor’s and Master's degree students, as well as possibly co-supervision of PhD students. Contribution to external research
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, for example, maternity leave, since your research activities are assessed in relation to your actual research time Education (diploma for master's, PhD and possibly higher doctoral degree) In addition
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innovative environmental historians, with a completed PhD in environmental history, historically-oriented anthropology or related fields, and with experience working in the Danish or Mexican context
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have a PhD degree or must document equivalent qualifications in a relevant field related to natural language processing (NLP), literature, information science, media studies or a closely related domain