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for human data collection; clear demonstration of skills in applying AI models for human motion recognition. Workplan and objectives to be achieved: The main objective of this work plan is the collection
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this competition for at least 5 years after the PhD, with a relevant curriculum in the scientific area to which they are applying; b) Competences in geographic information systems, multi-criteria analysis models
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. Candidate eligibility requirements: a) Skills in numerical modeling of the polymer injection molding process. b) Skills in data analysis techniques applied to polymer injection molding. 6. Workplan and
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Recuperação e Resiliência (PRR), with a view to developing a final model that uses mass optimization techniques, validation of results in real-world scenarios, namely the extraction system, manufacturing and
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evaluation of publications in ISI / SCOPUS: journals in the research area of information management, definition of requirements, modelling rules, and information standardization, PQ = up to 100 points
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, and structural components. Modeling/simulation of the optical path inside the sensor for high efficiency. Optimization of the positioning of the optical components. Calibration of the detection system
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two years followed or interpolated, in this type of scholarship; Requirements: Clear demonstration of skills in modeling and simulation of solids, fluids, and their interaction; clear demonstration
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of the Large-Scale Language Model of the Portuguese Language of Portugal (Automatic Multimodal Language Assistant with Artificial Intelligence), reference AMALIA, inserted in measure RE-C05-i08 of the Recovery
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AMALIA - Creation of the Large-Scale Language Model of the Portuguese Language of Portugal (Automatic Multimodal Language Assistant with Artificial Intelligence), reference AMALIA, inserted in measure RE
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AMALIA - Creation of the Large-Scale Language Model of the Portuguese Language of Portugal (Automatic Multimodal Language Assistant with Artificial Intelligence), reference AMALIA, inserted in measure RE