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description of your PhD) and motivation for applying (max one page). CV including personal contact information, education, work/research experience with start and end dates, relevant skills and contact details
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file. The file must include: A cover letter motivating the application including describing your UHV and catalyst testing experience. (Max one page) CV Academic Diplomas (MSc/PhD – in English) List
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attach all your materials in English in one PDF file. The file must include: Application (cover letter) - max 1 page CV – max 2 pages Academic Diplomas (MSc/PhD – in English) List of publications - max 1
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, providing names and email addresses. These references may be contacted during the selection process. SUBMISSION GUIDE: The Motivation Letter shall be uploaded in the box ‘Cover letter’ (max. 5 MB), Curriculum
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stating your specific interests, motivation, and qualifications for the project (max. two pages) CV incl. education, work/research experience and skills relevant for the position. Including information
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
highlighting the fitness with the position’s requirements and the ability to work in team A brief statement (max. 1 page) describing previous experience with computational text analysis Application and all
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include the following documents/attachments – all in PDF format: Motivated letter of application (max. one page). CV incl. education, work/research experience, language skills and other skills relevant
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include the following: A detailed CV A letter of motivation A detailed research plan (max 3 pages) for the next 3 years that describes the applicant's: Potential to advance the field (both empirically and
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relating to 19th-century science. Experience with archival work and/or knowledge of Scandinavian languages is an advantage, though not a requirement. Please include a research plan (max. 1000 words
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detailed CV (max 2 pages) Copy of certificates/diplomas (MA and PhD degree) A complete list of publications indicating which publications are most relevant for the position. The 3 most relevant publications