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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
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Designing hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledge Advancing causal inference methods to predict transformation products
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nutrients with the soil through adaptive root and fungal networks. The successful candidate will design and implement a modelling framework based on Partial Differential Equations (PDEs) to represent
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: www.uni.lu/snt-en/research-groups/sigcom/ We are seeking individuals driven by excellence, passionate about innovation, and eager to make a positive impact. If this sounds like you, you have come to the right
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). In the context of Prof. Fridgen’s PayPal-FNR PEARL Research Grant and in strong synergy and collaboration with the FutureFinTech National Center of Excellence in Research and Innovation, the successful