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Field
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rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing a structured system for AI-assisted mathematical research, applied
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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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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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. 🚀 Want to be part of the adventure? Apply now and put your energy to work for research and innovation! In line with the CEA’s commitments to the integration of people with disabilities, this role is open
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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the project's design. Throughout the project, the candidate will work closely with a second doctoral researcher to be recruited within the Environmental Cheminformatics Group at LCSB. The ECI PhD candidate will
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from the European Union’s Horizon Europe under grant agreement No. 101226422 This project has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI