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) and Data Science with expertise in multi-omics data integration for health and precision medicine. The successful candidate will join a multidisciplinary team developing AI-driven approaches
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Position Overview: We are seeking an outstanding Postdoctoral Researcher in Artificial Intelligence (AI) and Data Science with expertise in multi-omics data integration for health and precision
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
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on autogenous grinding as a low-energy alternative for liberating indurated phosphates stored in mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale
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Abstract: This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge computing, and digital twin technologies for mission autonomy and predictive
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related to staff position within a Research Infrastructure? No Offer Description Abstract: This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge
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. The candidate will contribute to the mechanical design, composite fabrication, and experimental validation of UAV structures, integrating morphing wings and additive manufacturing processes for high-performance
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to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate with domain experts to integrate LLM-based solutions into predictive
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and machine learning. Integrate and benchmark the GINGKO library, a sparse solver that supports mixed precisions Responsibilities: Conduct original research in numerical linear algebra and HPC. Design
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experts to integrate LLM-based solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules. Publish high