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Field
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for the development of the prototype should be entirely synthetic. For this purpose, generative artificial intelligence tools (5)(GenAI) should be used to create users with different profiles and relevant datasets
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and functional requirements of the system, analysis of data sources and characteristics, definition of performance metrics and criteria for comparison between approaches. 3) Initial prototype
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-weighted imaging, and EEG, in combination with genetic data (GWAS, bioinformatics) from large-scale population cohorts. Positioned at the intersection of biological psychology, cognitive neuroscience, and
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Support”, through analysis of MR Diffusion Weighted Imaging and MR Spectroscopy and leading other members of the wider team Specific aims of the project To prospectively evaluate non-invasive pre-surgical
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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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9. Evaluation of the prototype in the laboratory 10. Evaluation in a controlled operational environment . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at CIIC
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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