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Field
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Deadline 22 Sep 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
Energy, Transport and Aerospace, funded by the Foundation for Science and Technology (FCT). It focuses on Scientific Artificial Intelligence, optimization, and computational modeling in engineering, aiming
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Week 35 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number COMPETE2030-FEDER-01174800 (17280) Is the Job related
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Master Positions Application Deadline 21 Sep 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BI/ Nº2026/00077 - INSTANT Is the Job related to staff position within a Research Infrastructure
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop optimization algorithms for predictive energy management • Model consumption, renewable generation, storage and CO₂ emissions • Test the
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop real-time optimization algorithms • Model multi-vector energy-water-hydrogen systems • Support the development of digital twins • Test the
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). Organic Unit: Computational Infrastructures Coordination Scholarship Theme: Research and development of methodologies for the optimization and support for the MOOC Técnico platform Duration: 6 months
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developing and applying AI-based methodologies for circuit synthesis, optimization, and design automation. The candidate will also contribute to the development, implementation, and validation of computational
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of the research process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Co-develop the requirements for optimization models, taking into account solar assets, EV chargers, and