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employ this technique to quantify the local microstructural evolution during exposure to mechanical, thermal and corrosive stimuli/loads thus laying a knowledge-based foundation for design of AM-defect
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/EDS characterisation Strong analytical skills and knowledge of material failure mechanisms Proven ability to work across disciplines and collaborate with industrial and academic partners Strong
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participate in knowledge exchange with public authorities and industry and will be involved in teaching and supervising students at the BSc, MSc, and PhD levels. Qualifications for a postdoc position: Academic
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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nature-based solutions that enhance local recharge and support the replenishment of shallow groundwater systems in dryland environments. The project combines shallow FEM with deeper ground-based TEM
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vision of creating world class knowledge in valuable collaboration with industry providing a unique opportunity to be part of the center. The center is collaborating closely with other Centre’s
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frameworks. Strong knowledge of probabilities and statistics. Ability to work in a UNIX environment. Demonstrated the ability to publish in the international peer-reviewed research literature Proven ability
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data management Knowledge of material flow analysis, life cycle assessment modeling, social-LCA, and/or life cycle cost modeling Concepts of circular economy, climate mitigation models, planetary
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contributes to Aarhus University's research, talent development, knowledge exchange and degree programmes. With its 700 academic staff members, 200 PhD students, 9,000 BA and MA students, and 1,500 students