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inverse problems. The team aims at developing Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In
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mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize hallucinations in LVLM outputs for autonomous driving
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theoretical background for MIMO related research, and have attended courses such as Information Theory, Signal and Systems, Modulation and Detection. Experience with OFDM or single carrier baseband algorithms
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/interests: Data analysis, data and signal processing, optimisation, programming & implementation skills. Objectives: To improve state-of-the-art algorithms for feature extraction, anomaly detection, and
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interacting effects of soil conditions and stand composition on SOC storage. Context and objectives. As in many countries worldwide, Wallonia has witnessed a conversion of semi-natural ancient forests
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and based on local respective regulations, depending on prior research experience. Objectives: To monitor ticks along ecological gradients in recreational forests in the region of Montréal and Brussels
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, in many application areas such as predictive maintenance, process monitoring, environmental monitoring, and the detection of safety-critical events, oftentimes only limited training data is available
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objective: To develop, test, validate, and valorise decolonized, just and trustworthy FMs and an FMs-based application for assessing FOG severity in the clinic and everyday life (the FOG severity assessment
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into consideration. Step 1: Motivation Field. In the Motivation section of the application form, please enter only the name of the PhD project and the supervisor you wish to apply for. You can find the list
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. The project begins with bladder cancer detection from urine-derived DNA and expands towards a broader set of urologic and related cancers, ultimately supporting precision diagnostics from urine to clinic