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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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(Numerical Analysis and Applied Mathematics) develops numerical algorithms and software for large-scale problems in science and engineering. Its research ranges from algorithm design and analysis to software
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systems, with a focus on 3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation
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modelling and vulnerability assessment for satellite communications links Design, implement, and evaluate AI/ML‑based algorithms for real‑time detection, classification, and localization of jamming and
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genetic and genomic features that may convey protection against aging and neurodegeneration. We expect the candidate to computationally address biological questions concerning resilience against
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facilities and leading research groups in e.g. gastroenterology, oncology, immunology, microbiology & virology, clinical genetics/-omics, molecular biology and translational research. The Raes lab has a long