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, especially chatbots, is changing upper secondary education. Focusing on digital literacy and gender equality, it examines how students and teachers use generative AI tools in majority language subjects in
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are closely connected to the Danish educational context from primary to upper-secondary levels and require engagement with Danish-language sources, participants, and stakeholders Be motivated to work closely
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one language used for computational modelling and data analysis, such as Python, R, Julia, MATLAB, NetLogo, or C++. Preferably, you have demonstrated experience with data-driven computational modelling
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University has a policy of parallel language use. International staff are encouraged, with support from the university, to learn Danish during their employment in order to support their integration
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for this position; Research plan – description of current and future research plans; Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
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candidate from their current and previous employers. Living and working in Denmark Foreign applicants will be offered Danish language training as part of the employment. The International Staff Office (ISO
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contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and they make use
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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in
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application must 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