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of the following activities: Activity 1: Assessment of the direct effects of the biological control agent Trichilogaster acaciaelongifoliae Assess the establishment of the biological control agent along
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qualifications: cumulatively or alternatively: a) Experience and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information to be
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: cumulatively or alternatively: a) Experience and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information to be provided in
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
on the design and fabrication of microparticulate drug delivery systems loaded with chemotherapeutic agents. These microparticulate systems will undergo comprehensive physicochemical characterization to assess
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experience in presenting scientific work. Preference for candidates with experience in: -Complex networks and systems modelling and simulation. -Discrete dynamical systems (cellular automata, agent-based, etc
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; The prototype will analyze the student's interactions with the study material and based on this analysis, the agent can, for example, present the same information in different formats, or adjust the level of
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offered by agents. Focus on personalized support for the student and the teacher in various phases of the learning process. Modeling and Exploration of Emotional and Cognitive Profiles of Agents:Develop
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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
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creating and training a large language model tailored to the OMS context, integrating AI agents, and implementing a vehicle mobility interface. The platform will be tested, validated, and continually refined
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AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human