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and optimize bio-inspired chemical sensors in response to analytes of interest in air. The research team will explore methods to interface with biological sensory system, obtain multiplexed electronic
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
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and decentralised data-center capabilities to optimize urban performance. This project aims to explore how telecommunications networks and urban infrastructures interdepend and co-evolve, and to
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protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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Collaborate with domain experts to integrate LLM-based solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance
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Department of Applied Mathematics Research Assistant Professor in Optimization and Operations Research / Statistics and Data Science / Financial Mathematics / Engineering and Computational
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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074
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the coding and coding denial teams. This position ensures accurate and compliant coding practices to optimize revenue capture and oversees the follow-up and resolution of coding-related denials and appeals. By
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related content in partnership with instructors and program staff. Manage course content within the Salesforce-based system, ensuring accuracy, completeness, and readiness for publication, while optimizing
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sustainability of mobility systems in suburban areas by designing and developing optimization-based strategies for on-demand services, optimally integrated with innovative charging technologies. We will develop