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domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response to climate
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of textile-based feedstocks, monitoring process conditions, and collecting and interpreting data. The position also includes performing chemical analyses and characterizations of both feedstocks and reaction
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read more about the department here and about the faculty here . About the research project This research project addresses the critical gap in experimental models for systematically investigating
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industrial domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response
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The project’s focus will be on modeling novel silicone polymers and elastomers and developing mechanical design for storage of energy in the form of large elastic deformations. A close collaboration with chemists
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Denmark as well as abroad. Your primary tasks will be to: Develop, test, analyse, simulate and predict the capture performance of new fishing gears. Produce high quality scientific and/or engineering papers
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers
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and Mechanical Engineering (DTU Construct). In this role, you are advancing innovation by integrating material science, advanced processing techniques, and modelling to gain a comprehensive
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the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with