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proficiency in English (written and spoken). The applicant must have excellent skills in quantitative methods, including methods for causal inference and/or survey experimental designs. To fulfill the research
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Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and
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. The position has a duration of up to one year. The hired candidates will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP, https://acp.sdu.dk ), an ambitious group
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. The Department of Biomedicine 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
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understanding of AI enabled education and be comfortable coordinating activities involving both pedagogical and technical stakeholders. Familiarity with large language models, Retrieval Augmented Generation (RAG
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documented strong qualifications in mathematics, statistics, or mathematically founded data science, as well as excellent oral and written English language skills. Experience with spatial statistics is an
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interdisciplinary team. Good communication skills in written and spoken English language are essential, and applicants should have a strong publication record with clear contributions as first author. Who we are In
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learning, or bio-inspired neural architectures is highly desirable. Communication: Excellent spoken and written communication skills in English. Application deadline 31 August 2026 at 23:59 hours local
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strong motivation, and to collaborate in a team environment Fluent written and spoken English Place of Work Place of employment and work location: Aarhus University, Department of Chemistry, Langelandsgade
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must be coordinated across several organisations and disciplines. You communicate fluently in English in both writing and speech and are able to present complex technical material clearly to colleagues