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processing and estimation algorithms for positioning in high-dynamics NTN scenarios, accounting for satellite mobility, Doppler effects, and time-varying propagation conditions Exploring GNSS-5G coexistence
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of this PhD project is to develop novel 4D image reconstruction methods for X-ray imaging where the object changes over time. In particular, the goal is to develop efficient 4D reconstruction algorithms
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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independent research and develop novel algorithms. You have strong analytical and problem-solving skills. You have a research-oriented mindset and motivation to work at the intersection of AI and communication
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venuesStrong programming skillsSolid mathematical foundation, including linear algebra, probability, statistics, and optimizationBroad and in-depth experience with machine learning algorithms and deep learning
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or MATLAB, integrating data preprocessing, feature extraction, and classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high
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chain management and the potential applications of data-driven methodologies and algorithms.• You can do independent research (demonstrated, e.g., by an excellent MSc thesis).• You have excellent command
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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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literature Literature » Hamito-semitic literature Literature » Literary criticism Literature » Writing Mathematics » Algebra Mathematics » Algorithms Mathematics » Applied mathematics Mathematics » Chaos
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signal processing and machine learning algorithms, have strong interpersonal skills and the ability to work in an international team. Experience in wireless communication and networking fundamentals is a