92 data-"https:"-"https:"-"https:"-"https:"-"Tampere-University" positions at Aarhus University
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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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position is a full-time, fixed-term appointment as an assistant professor with a view to a permanent associate professorship (tenure), subject to a positive tenure review. Further information on the tenure
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researchers and accompanying family members, including a relocation service and an AU Expat Partner Programme . You can also find information about the taxation aspects of international researchers’ employment
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the academic discipline from a research and teaching perspective. Moreover, there will be an assessment of the applicant’s ability to perform research and teaching management tasks. Further information
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. Consequently, your employment will as of that date be with a department. Contact information For further information, please contact: Assistant Professor Emil Laust Kristoffersen, +45 29271306, emillk
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responsible for all data analysis. You will report to the Head of Department of Biomedicine. Your competences Successful candidates will have an excellent track record and will be highly motivated, self-driven
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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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. 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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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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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will