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The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling within the framework of the doctoral training unit Forest Function
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- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical data in a FAIR, privacy-preserving, and clinically meaningful manner, with particular attention to unstructured and
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computational models that describe how trees exchange carbon, water and nutrients with the soil through adaptive root and fungal networks. The successful candidate will design and implement a modelling framework
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to the project Provide assistance in organizational matters related to the project PCS-Graphs Since autonomous robots need to operate in complex and ever-changing environments for long periods, they must
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malicious behaviors implemented in Smali code. Adversarial attack development: you will design and implement adversarial attacks by manipulating localized malicious payloads against malware detection models