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Management; Knowledge of data organization and management; Knowledge of database creation; Good knowledge of quantitative forecasting models and financial markets. Preferred Factors: Experience in creating
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the generated data can be used in practice. A new metric to help this comparison is expected to be created. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Test GAN models – Compare leading GANs
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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: • modelling and optimisation of PCM thermal storage for buildings and industry use
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electrical engineering projects.; - Knowledge of libraries for developing and training ML models; Minimum requirements: - Knowledge of computer programming. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS
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, advanced studies, specialized training). Preferential factors: Previous experience in Building Information Modelling; Previous experience in civil engineering or architectural industry; Previous experience
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the area or area related to that requested in the tender (e.g.: postgraduate studies, advanced studies, specialized training). Preferential factors: Previous experience in Building Information Modelling
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address to which, by doing so, they agree to receive all notifications related to this process. Applications should be sent by e-mail to ieeta-bolsas@ua.pt (please mention in subject: Ref 18/2025/BI
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; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - develop new modules to enable the simulation and/or experimentation of emerging wireless
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of this project is to create a radiomics and radiogenomics based approach to describe and create predictive models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK