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theoretically. Further information can be obtained in the department’s qualification guidelines. Successful candidates will be expected to teach and supervise students in our business administration programs
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in the fields of: Construction Management and Lean Construction. Production Planning and Control. Data-driven analytics and management of construction operations. Construction Informatics, including
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testing and condition monitoring using modern machine learning, including multimodal foundation models and related data-driven and physics-informed approaches. Research topics may include visual and real
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Aarhus University, and the place of work is Department of Biological and Chemical Engineering, Aabogade 40, 8200 Aarhus N., Denmark. Contacts Applicants seeking further information regarding the PhD
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of information, including AI-generated forms of content. Research The Department of Media and Journalism Studies at Aarhus University has a strong international profile and a robust research network. The
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technical team. Work structured and systematic and able to pass on knowledge. Effective oral and written communication skills (English). Basic computer skills and experience with data handling. We offer We
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employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by employing staff who bring unique
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Professor in AI-driven patient stratification and microbiome-based interventions (combined position)
data Explorative Network) , Odense University Hospital (OUH), respectively. The position is vacant as soon as possible, and the two 50% positions are considered as one entity (= full-time). Job
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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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we expect: Qualifications The candidate must have a PhD degree at the time of employment. We value candidates who combine strong experimental skills with an ability to integrate data-driven approaches