Sort by
Refine Your Search
-
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
-
: • 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
-
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
-
specifications. Deliver a technical report with technology recommendations for the web platform and pipelines, ensuring interoperability and scalability. Requirements gathering and architecture design • Analysis
-
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
-
unmanned vehicles 2. Study of modular and generic solutions for controlling unmanned vehicles 3. Definition and specification of the overall architecture 4. Implementation of global modules 5
-
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
-
characteristics) and criteria for evaluating system effectiveness. Initial prototypes: Design of the system architecture for scheduling optimization, detailing its components (attendance prediction module, planning
-
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
-
Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 9 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