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involved in other collaborative research projects between Coley’s Conceptual Organization, Reasoning, and Education Laboratory (CORE Lab) and Helmuth’s Marine Ecological Forecasting, Ecophysiology, and
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competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus
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monitoring and other disease-preventive measures, such as vaccination and breeding for increased resilience. The PhD student will specifically: Coordinate the development of a conceptual model for biosecurity
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for subsequent interpretation by the project team. Contributing to conceptual work on desalination and CRM recovery, in particular precipitation and separation processes, based on the scientific literature and
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-time faculty serving 13 undergraduate and five graduate programs with curriculum preparing graduates to be leaders in a world requiring a unique combination of creativity, conceptual skills and technical
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understanding of how soil management practices influence key physicochemical and biological soil properties in compacted soils. To explore how insights generated from experimental, analytical, or modelling
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intelligence-based modelling approaches in representing product quality and shelf-life dynamics under variable handling conditions. Examine how insights derived from digitally enabled and data-oriented analyses
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this project share conceptual similarities with adaptive network and multiscale modelling strategies used in other domains within the computational mechanics group of Prof. Stéphane Bordas (www.legato ‐team.eu
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, socially grounded approaches to disease threats affecting animal and human health — learning from those who manage biological risks in everyday settings rather than relying solely on top-down models. Working
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technologies. Design language models (LLM/SLM), for the automatic analysis and conceptualization of clinical documentation in free text. Perform mapping to standardized vocabularies and data models; e.g., SNOMED