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the manufacturing process allowing for a faster and more precise optimization trough virtual engineering. You will work within a research team comprising two other researchers dedicated to this project
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the manufacturing process allowing for a faster and more precise optimization trough virtual engineering. You will work within a research team comprising two other researchers dedicated to this project
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of the integrated RAN, spectrum management strategies for efficient utilisation of wireless resources and interference/jamming avoidance and methods for optimal unicast and multicast/broadcast transmissions, often
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promising pathway for fully decarbonized polymer precursors. Job description includes; Design and optimize Perovskites (doped and in-situ exsolved) for enhanced OER in solid oxide electrolysis process to
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To optimize suitable analytics to follow the physicochemical recycling process To create energy efficient dissolution and low-temperature depolymerization pathways for high quality footwear recycling
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); novel obfuscations and obfuscation recipes to defeat LLMs and other AI-based reverse engineering tools; the use of AI techniques and LLMs to optimize reverse engineering strategies; modeling techniques
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engineering of the polymer/monomer purification steps. The main objectives are: To gain physicochemical insights in the interaction between polymers present in footwear and solvents/reagents To optimize
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logical choice for its staff and students. YOUR TASKS You perform comprehensive analyses of pyrolysis feedstocks and resulting products. You develop and optimize GC×GC methods for the characterization
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packaging applications. Responsibilities: Investigate the mechanisms of plasma–tissue, plasma–biomaterial, and plasma–food packaging interactions. Develop and optimize cold plasma treatments to enhance
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, specifically by critically evaluating and further optimizing existing components of the preprocessing pipeline, such as peak detection, retention time alignment, and data normalization. This will help reduce