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wide range of academic fields, Ghent University is a logical choice for its staff and students. PROJECT Cross-talk: Modelling the crop-climate dialogue to optimize resources, production and quality in
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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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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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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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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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strategies for efficient utilisation of wireless resources and interference/jamming avoidance and methods for optimal unicast and multicast/broadcast transmissions, often empowering cutting edge AI/ML
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-precision localization and radar-based sensing. You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio
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. The central aim is to design intelligent systems that dynamically adapt the environment to support optimal learning conditions, based on real-time neurophysiological feedback. Key principles guiding