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with a background in Music Cognition, Psychology, Music Technology, or Musical Data Science, ideally with a specialisation in experimental concert research and/or collection and analysis of continuous
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collegial work environment. Further information The application must be uploaded in English. Deadline: 1 September 2025. For further information about the positions, please contact Professor Rubina Raja
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. Qualifications Applicants with experience in mixed methods, particularly digital methods, data scraping/analysis and qualitative research (Netnography and interviews) will be preferred. Proficiency in English and
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
five bioclimatic zones. Your task will be to combine multi-source data — including field observations, environmental measurements, and satellite imagery — with mechanistic models to assess carbon
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, production efficiency, and milk production. Contact Further information on the position may be obtained from Head of research unit, Professor Peter Lund, phone: +45 4015 7673, email: Peter.Lund@anivet.au.dk
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collaboration with hospital departments and industry. We offer an attractive work place with a strong publication output to support an academic career. For more information about our profile and projects, please
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Aarhus University with related departments. Contact Information For further information please contact: Associate professor Ulf Andersson Vang Ørom, ulf.orom@mbg.au.dk Deadline 30 July 2025. Application
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researchers and accompanying families, including a relocation service and an AU Expat Partner Programme . You can also find information about the taxation aspects of international researchers’ employment by AU
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mechanistic information on human brain changes in pain conditions. Your research will help us understand the mechanisms involved when pain becomes chronic. Work in a team using electroencephalography (EEG
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Applications are invited for a post-doctoral position to develop and apply advanced mass spectrometry and data analysis methods to investigate plant-microbe interactions in soil, within the research