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Grant (ORF-RE (external link) ). The SSHRC-funded project was launched in 2021 and the objectives of this research are to: 1) expand conceptual models for intergenerational partnerships; 2) investigate
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machine learning models, natural language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education. Develop
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performance. Its role is pivotal in the overall performance and safety of the vehicle, underscoring the importance of our work in this field. Various algorithms, models, and signals control different components
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research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and
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that has been investigated. Fertilization experiments have confirmed that K deficiency limits tree growth and forest productivity and mechanistic models have been developed that confirm the strong response
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pathways with the goal of developing novel therapies for cancer treatment. Learns and utilizes new techniques. Conceptualizes and executes complex laboratory experiments across a variety of fields from
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research project funded by the Patient-Centered Outcomes Research Institute. This project aims to use Large Language Models to gain insights about evidence-based discussions between patients and healthcare
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, and conceptual domains of behavior analysis. The program is accredited by the Association for Behavior Analysis International and follows a junior colleague model with close supervision and mentoring
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health and translational medicine using a "bench-to-bedside" approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim
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. Demonstrated experience independently executing all phases of a scientific program, including conceptualization and design, data collection, data analysis, and interpretation of findings. Evidence of strong