Sort by
Refine Your Search
-
Description The aim of this research is to enhance the durability and fire resistance of veneer-based wood products by developing and optimizing a sustainable wood densification process. The study seeks
-
comparative international site. Project teams will collect building inventory data using the refined spreadsheet templates and execute modular LCA processes in openLCA. The resulting data will be analyzed
-
-based control of multilayer electrospinning. The task of the PhD student is constructing a scalable, multiparameter model, which maps online observable process parameters (e.g. spinneret voltage, flow
-
model, which maps online observable process parameters (e.g. spinneret voltage, flow rate etc.) to nanofiber product quality (e.g. morphology, diameter variance, all of which are only observable offline
-
English language. Willingness to travel to international and domestic project meetings. The following experience is beneficial: Experience with Life Cycle Assessment (LCA) tools and software (e.g., GaBi, openLCA
-
combine high-level research with the development of innovative solutions to promote a sustainable mindset and practices. By integrating expertise from multiple disciplines and fostering international