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the thermomechanical performance of the refractory masonry; Application of advanced statistical analysis algorithms, including sensitivity analyses and comparisons of different algorithm types; Development
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period of 12 months, possibly renewable up to a maximum of 36 months, scheduled to start on March 2026. 2. WORK PLAN AND WORKPLACE: The project will investigate the developed algorithms and methods
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DEEPFRAC, 2024.14907.PEX, financed by national funds (OE) through FCT.IP, under the following conditions: Scientific Area: Computational Mechanics/Phase field development Admission Requirements: Post
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course integrated in the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, a requirement to be duly proven at the time of signing
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of methodologies and machine learning algorithms for the detection of anomalous behaviors in flow rate
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of new algorithms based on statistical analysis for the detection of bursts in water distribution
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tools and their integration into the matRad treatment planning system; 3) development of tools that automatically identify for each patient the dose-response models that characterize the worst-case
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developed involves continuous analysis of the state of the art, the definition and specification of technical and functional requirements, as well as the design of data models, synchronisation algorithms and
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Advisor: Ana Paula Martins Falcão Flor (ist13814) Co-advisor(s): Jónatas Valença (ist417176), LNEC. Organic Unit: Scientific Area of Construction Scholarship Theme: The work aims the development
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for applications for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration