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101101903 Funded by European High-Performance Computing Joint Undertaking (EuroHPC JU), under the Horizon Europe programme, and by National Funds through FCT - Foundation for Science and Technology, I.P. 1
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objective of the work to be carried out during the fellowship is to develop an optimizer for SQL queries with a persistent core and to evaluate it experimentally. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME
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.pdf CALL FOR GRANT APPLICATIONS (AE2025-0512) INESC TEC is now accepting grant applications to award 1 Research Grant (BI) within the scope of the This work is funded by national funds through FCT
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optimize reimbursement claims with health insurers. The solution will be based on advanced hyper automation and generative artificial intelligence techniques, focusing on efficiency in terms of performance
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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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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
; - identify and select the methodologies and approaches most suitable for the development of the work; - strengthen the research and development competencies of the grant holder through the application
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The main objective of this work is to develop an intelligent control and coordination module for robotic
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designs and results 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: -Modelling electricity markets ; -Modeling energy resources planning ; -Integration of resources for self-consumption
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holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The ADAPQO project aims to develop technology for optimizing queries on data management systems. In this context, the main
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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