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PhD working with Prof. Hendrik Blockeel and/or Prof. Jesse Davis on analysis of time series data. The goal is to develop algorithms for detecting anomalies, discovering “motifs” (repeating patterns
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information on its udder health and metabolic and nutritional status. In this project, an optical sensor prototype will be designed and built based on miniature spectrometers with the aim to measure milk
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-oriented background - You have a genuine interest in signal processing and machine learning methodology and algorithms - You obtained good grades in courses related to the topics relevant to this PhD
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devices—such as wearable sensors, assistive robotics, or implantable systems—where real-time performance, energy efficiency, and reliability are critical. Unlike traditional NAS approaches that are hardware
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aerial vehicle (UAV) technology make them a promising solution to densify ELA monitoring. However, expanding the density of meteorological sensors in the ELA to bridge the spatiotemporal meteorological
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routing decisions to minimize total costs, including transportation costs, inventory holding costs, and shortage costs at various locations (nodes) over multiple time periods. In real-world applications
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the top 50 universities worldwide. In addition to its historic main campus in Leuven, the university has multiple campuses in cities such as Brussels and Antwerp, offering a vibrant and internationally
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learning-powered algorithms as well as hybrid approaches, combining either reinforcement learning or deep learning (Graph Neural Networks) with human-based modelling, for fully flawless and autonomous method
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advanced mathematical frameworks and algorithms that accommodate the distinct operational characteristics of these mobility services while addressing their charging infrastructure needs. Project abstract
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workshops, and collaborating with leading researchers from multiple disciplines. The position offers flexibility and the opportunity to work in an enthusiastic team within a stimulating, multicultural