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grant is to develop and implement key components of a multi-agent system to support mental health care. The intern's responsibilities include: - Implementing the complete architecture of the multi-agent
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 2 days ago
recovery. The main objectives of the project include: Developing an open, scalable, and modular Digital Twin architecture. Enabling accurate, high-resolution forest mapping using advanced sensing techniques
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: • Identifying use cases and modelling functional and non-functional requirements. • Defining the logical and physical architecture (frontend, backend, databases, AI services). • Full-stack implementation (modern
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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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– the School of Technology and Management, of the Polytechnic of Leiria, under the supervision of PhD Professors Judite dos Santos Vieira, Sérgio Manuel Maciel de Faria and Telmo Rui Carvalhinho Cunha Fernandes
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specifications. Deliver a technical report with technology recommendations for the web platform and pipelines, ensuring interoperability and scalability. Requirements gathering and architecture design • Analysis
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Development of a simple functional prototype with a data ingestion and pre-processing pipeline. Preliminary evaluation with exploratory models to validate the concept and define the final architecture. 4
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devices. Minimum requirements: Advanced knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous
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characteristics) and criteria for evaluating system effectiveness. Initial prototypes: Design of the system architecture for scheduling optimization, detailing its components (attendance prediction module, planning
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for the modules to be developed. Design and specification: Definition of the detailed architecture of the aggregation and recommendation modules. Specification of algorithms, data models, and interfaces. Research