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on the economic impacts of renewable energy based on econometric methods. The work to be undertaken is related to a project, which will draw on input-output models that are tailored to sub-national level data in
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, thermodynamic models, and unit operations, developed as part of research projects at both CERE and KTC. These software tools include but are not limited to the Integrated Computer Aided System (ICAS), CAPCO2
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Associate Professor or DTU Tenure Track Assistant Professor in Biomanufacturing and Process Integ...
fermentation processes through experimental characterization, design of production units, and development of predictive process models. Models will integrate sustainability assessments and genomic data and
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processes through experimental characterization, design of production units, and development of predictive process models. Models will integrate sustainability assessments and genomic data and explore links
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on the development of novel methods for the analysis and optimization of components and structures based on mathematical modelling and experimental investigations of phenomena that are highly interdisciplinary and
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Assessment Design behavioural studies, experiments, and surveys to evaluate user, consumer, or stakeholder decision patterns. Apply behavioural economic models to identify drivers and barriers for technology
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probabilistic modelling techniques for assessing and improving the performance of existing structures. The position is to be filled by February 1, 2026, or as soon as possible thereafter. The position is a five
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are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates
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for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU National Food Institute DTU National Food Institute conducts research into and
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: Implement and optimise deep learning–based models for the quality control and real-time assessment of concrete constituents within in-line production. Develop and train predictive algorithms based