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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 2 months ago
applications for one (1) Research Fellowship for MSc., in the framework of the R&D project “Prediction and Optimization of Energy Flexibility in Renewable Energy Communities”, with the reference COMPETE2030
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the award of 1 (one) Research Grant within the scope of the I&D project Mod3DConstruction: 3D printing in the prefabrication of customizable thermally optimized modular façade panels, reference no. 14927, co
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developing an efficient storage solution for AI applications deployed at HPC centers. In detail, the work will focus on the development of a storage solution that optimizes the persistence of checkpoints of AI
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) development and optimization of fermentation processes with probiotic strains; (iii) characterization of the obtained ingredients in terms of composition, techno-functional properties and bioactivity (e.g
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and fermented fractions; (ii) development and optimization of oleogel formulations using insect-derived oils combined with suitable structuring agents and antioxidants; (iii) evaluation of the stability
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PDF, Dev of new porous transport layer architectures for Proton Exchange Membrane Water Electrolysis
generic, off-the-shelf components lacking tailored designs and optimized interfaces. The absence of well-engineered PTLs impedes further advancements of PEMWEs. The successful candidate will collaborate
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 20 days ago
environments. By leveraging real data collected from multiple Portuguese restaurants, the project develops advanced forecasting models and digital tools, such as digital twins, to monitor and optimize energy and
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, supported by INESC TEC. 2. OBJECTIVES: The main objective of the work to be carried out during the grant is to design and implement storage optimizations to be incorporated into a new flexible and modular I/O
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optimization methods, to enhance the efficiency and deployability of binarized models. Finally, the candidate is expected to develop and implement a prototype system for a representative speech classification
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leveraging on AI and optimization, applying data science and analytics techniques. Such tools will support the integration of Distributed Energy Storage (DES) and Distributed Energy Resources (DER) in