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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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of the Foundation for Science and Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all
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experience in at least one of the following areas: psychopharmacology, computational neuroscience, experimental psychology, functional imaging, behavioral genetics, Documented experience with either
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and/or attending a non-degree course taught by a higher education institution in collaboration with an R&D unit. Experience in image and audio capture (video and photography), video editing (Adobe
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., generation of malicious/destructive code). In this sense, the work includes the study, experimentation, and integration of different security mechanisms applicable to LLMs, as well as the comparison and
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modules, for the agent management tools and for the conversation generation process. 3) Prototype: Development of an initial prototype of the multi-agent system architecture, including the preliminary
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architecture design • Collaboration in the requirements survey and system architecture design. • Definition of metrics and selection of tools (training frameworks, vector databases, APIs). 3) Prototype
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in USN’s PhD-program in Ecology within three months of accession in the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof
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(EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community