32 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation" positions at University of Minho
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achieved: The work plan will consist of: i) improving the development of computational tools and optimizing the parameters of the best tool for detecting fall risk situations in assisted walking with
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; Develop algorithms that adjust the type of pedagogical scaffolding. The goal is always to guide the student without giving the answer, but the way of guiding will be the focus of the adaptation. Fine-tuning
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objectives to be achieved: The scientific work to be developed consists of: Software Architecture and Operations (MLOps)Investigate strategies to coordinate multiple specialized language models (core LLMs
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aimed at consolidating the scientific training of the scholarship holder through the development of research work leading to the respective academic degree. The scientific work to be developed consists
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systems, reference COMPETE2030-FEDER-00771500 co-financed by European Regional Development Fund (FEDER) and national funds, through Fundação para a Ciência e Tecnologia (FCT), through the Innovation and
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at consolidating the scientific training of the scholarship holder through the development of research work leading to the respective academic degree. The scientific work to be developed consists of: Design and
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of technical reports, scientific articles and presentations. Workplan and objectives to be achieved: The scientific work to be developed consists of: Adaptation and Application of Instructional Design Methods in
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they are based in the same Organic Unit (UOEI) of UMinho (according to nº 4 and 5 of the Article 7º of the FCT I.P. Research Grants Regulations in force). Other requirements: Proven knowledge in developing
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to be developed consists of: Architecture and Delivery of AI Infrastructure:Develop the hardware and software architecture for the training, fine-tuning and implementation of Large-Scale Language Models
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to be developed consists of: Architecture of Collaborative Agent Ecosystems with Human Interaction:Explore and develop architectures where different AI agents (based on LLMs) play distinct roles, such as