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; T2: State-of-the-art review and model testing; T3: Development of algorithms for information extraction; T4: Algorithm testing and validation; T5: Preparation of reports, presentations, and other
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Grant (BI) for the PRODUTECH DIH, under the following conditions: Work Plan and Objectives to Reach: The work to be carried out will aim at research, development, implementation and testing of Artificial
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process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - To contribute to the specification and development of algorithms for optimizing energy systems with
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of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent, modular battery with machine learning algorithms. The aim is to develop a high-performance
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position within a Research Infrastructure? No Offer Description Call is open for the award of 1 (one) Research Fellowship (BI) at UNINOVA - Institute for the Development of New Technologies within the scope
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visualisation (libraries such as Three.js, OpenGL, VTK, or similar); - Advanced knowledge of optimisation algorithms; - Previous experience with software development for logistics problems; - In-depth experience
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distributed systems. Minimum requirements: - Solid knowledge of database engine implementation; - Solid knowledge of optimization algorithms (Volcano/Cascades); - Practical development experience with
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the attached template: Compliance with working hours and attendance; Compliance with the work plan, specifically the development of software for the AI module, including the implementation of algorithms
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work plan includes research and experimental development activities to be carried out over a period of 9 months. These activities are subdivided into tasks as follows: • Activity 1 – Study of the state
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17172 (COMPETE2030-FEDER-00864900) co-funded by the ERDF - European Regional Development Fund through Innovation and Digital Transition Program - COMPETE 2030 under the scope of Portugal 2030 and by