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. You will work on a strategic research project funded by the Flanders Make. In this project we want to research and develop a transformer-based framework that couples with physics-based models to handle
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Job description We are hiring a doctoral fellow on the topic of building stock modelling. Starting from reviewing the existing building stock modelling approaches, you will develop a building stock
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, or SLs) to investigate their role in the defense of chicory against thrips and other insects. You will develop and optimize methods to extract, purify, characterize and structurally identify
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these resources. By using data integration, AI, and international platforms like GBIF and LifeWatch, the project supports taxonomic advancement. This PhD research will develop bioinformatics tools to find type
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-year appointment, potentially to be extended A wide range of career development opportunities Administrative support by the EU team Contact: EU-team@UGent.be More information
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Rankine Cycle (ORC). The goal is to model this complex process using computational fluid dynamics (CFD), taking into account thermodynamic non-equilibrium. The developed method can then serve as the
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, and are capable of working independently and meticulously. You are open to feedback and eager to learn. You are willing to take advantage of the extensive training and development opportunities offered
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instances, blockchain applications. While these developments offer considerable potential to improve the efficiency of arbitral proceedings, they also present important challenges. The primary challenge lies
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learning algorithms. The two PhD students hired through this vacancy will primarily contribute to the development of debiased learning methods and assumption-lean modeling tools, and their application
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this issue. In doing so, the following are pursued: (1) developing a reliable analytical method that covers a sufficiently broad spectrum of nitrosamines; (2) making available a significant dataset of