85 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Aarhus University
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, they will be required to acquire Danish-language proficiency within approximately two years. The application must be submitted in English. Further information For further information about the position
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wide variety of services for international researchers and accompanying families, including a relocation service and an AU Expat Partner Programme . You can also find information about the taxation
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research sections with around 320 highly dedicated employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and
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research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and
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when different perspectives meet – and that research, teaching and innovation are best developed in dialogue with the surrounding society. You can find more information here: Faculty of Arts | Aarhus
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analysis) Data collection, documentation, and basic data analysis Contribution to reporting, presentations, and potentially scientific publications Supporting collaboration within the research group and with
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full time project employment. The expected start of employment is 01 May 2026. End date 31 December 2029. Contact information If you have any questions regarding the position, please contact the Director
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Danish or Scandinavian context. Language and further information Applicants must be able to teach and supervise in English at university level. If the successful applicant is not fluent in Danish, s/he
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. In Viborg the place of work is Blichers Allé 20, 8830 Tjele. The area of employment is Aarhus University with affiliated institutions. Contact information For further information, please contact
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Electrophysiological characterization of muscle fiber excitability (in collaboration with the research group) In vivo studies using animal models of neuromuscular disease Integration of molecular and transcriptomic data