75 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Aarhus University
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engineering, geoinformatics, computer science, or a related field with a focus on deep learning applied to remote sensing or geospatial data Documented experience with deep learning model development (e.g
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stream from the green biorefinery demoplant at AU Viborg. The project will focus on pulping of the press cake and development of textile filaments from the refined cellulose-fraction. Expected start date
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information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it
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DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS: Details refer to
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s recruitment system, which can be accessed
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reactors Maintain detailed records of experimental data, process conditions, and system modifications. Publish scientific articles based on data collected during the research, development, and innovation
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01.04.2026 or as soon as possible thereafter. Job description Research in this project involves a synergistic combination of numerical modeling and theoretical development of physics-based and physics
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entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here
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is primarily research-based but may also involve teaching activities. You will be expected to contribute to the development of the department through research of high international quality. In your
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, metagenomics, eDNA-based monitoring and phylogenomics, contributing to both research development and interdisciplinary collaboration between the Department of Ecoscience and QGG at Aarhus University