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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 12 hours ago
include: Developing an open, scalable, and modular Digital Twin architecture. Enabling accurate, high-resolution forest mapping using advanced sensing techniques. Implementing real-time data processing
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web frameworks, REST/GraphQL APIs, automated testing). • Continuous integration and continuous delivery (CI/CD) in a cloud environment. • Functional validation and performance of the prototype in a
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: • Backend based on REST/GraphQL APIs that expose cork stopper catalogue functionalities, creation and management of final products, and consultation of machine learning model records; • Angular frontend
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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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recommendation system. • Development of a prototype application with API for interaction between the database and the recommendation system. The work will be carried out at the Laboratory for Informatics and
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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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with heat pumps/HVAC and EMS/BMS/SCADA, specifying data exchange and developing APIs; • support prototype tests, calibration and KPI definition (efficiency, cost, CO₂); • attend a transversal competences
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 13 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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knowledge of econometric analysis and experience using Stata and/or R. Experience with administrative databases will be valued. Skills in map creation and Geographic Information Systems (GIS) will be valued
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the current MSL (Mean Sea Level) for the coastal and estuarine areas of the AML – Área Metropolitana de Lisboa; b) Identification of extreme levels and mapping of likely flooding locations, which constitute