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part of a pioneering study that explores these developments. We are seeking a highly motivated PhD researcher for an innovative 4-year interdisciplinary research project examining the trajectory
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. For the research unit “Physical activity
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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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& Management, Supply Networks Engineering and Logistics, and Smart Mobility and Smart Cities. The phd researcher will develop smart solutions for warehousing and its related internal logistics. The main
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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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techniques) at UGent combined with machine learning, deep learning and data fusion modelling to enable development of novel decision support systems for variable rate fertilization and manure application. He
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. For the Forest & Nature Lab at the Faculty
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, we understand little about the genomic underpinnings of evolution and adaptation in diatoms. Within DIADAPT, we will investigate the genomic processes that underlie adaptation to climate shifts in
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: the aluminum oxide layer is fully recyclable. As a PhD student, you will contribute to the development of multiphysics (electromagnetic & thermal) models for windings of electric motors. Also, you will study how
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325