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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python
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generate biologically interpretable models of zoonotic emergence and ultimately aid in developing new tools for human pathogen surveillance. This project offers training in bioinformatics, data science and
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that encourages scientific curiosity, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will
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learning (FL), where multiple UAVs collaboratively train artificial intelligence models without sharing raw mission data. This supports privacy and efficiency, but it also creates a serious security risk: a
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to advance efficient evaluation of how fluid composition and temperature perturbations influence mineralogical alteration and, ultimately, reservoir performance and development decisions. The project will
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of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models for latent variables and their connections to modern
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both amplitude and phase information, but traditionally requires highly coherent light and controlled laboratory conditions. Recent developments in incoherent holography make it possible to capture
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significant reductions in manufacturing-related CO₂ emissions. The ambition is to develop innovative technological solutions that reduce energy losses and minimise environmental impact throughout the product
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, for the preparation of a doctorate, contains: The development of novel spectroscopic sensors within the framework of the FWO-SBO-funded research project MOSAIC, Multimodal Optical Sensing and AI
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help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and